DataRaw

Dataset statistics

Number of variables	331
Number of observations	546643
Missing cells	79480128
Missing cells (%)	43.9%
Total size in memory	1.3 GiB
Average record size in memory	2.6 KiB

Variable types

DateTime	1
Numeric	1
Categorical	327
Unsupported	2

Alerts

`UmfrageName` has constant value "kuzu_zug"	Constant
`BHF_park` has a high cardinality: 145 distinct values	High cardinality
`BHF_platz` has a high cardinality: 425 distinct values	High cardinality
`BHF_sauberkeit` has a high cardinality: 502 distinct values	High cardinality
`BHF_umsteig` has a high cardinality: 555 distinct values	High cardinality
`BHF_velo` has a high cardinality: 159 distinct values	High cardinality
`BHF_wc` has a high cardinality: 69 distinct values	High cardinality
`BHF_wegweisung` has a high cardinality: 441 distinct values	High cardinality
`createdAt` has a high cardinality: 461329 distinct values	High cardinality
`date_of_first_mail` has a high cardinality: 47624 distinct values	High cardinality
`date_of_last_access` has a high cardinality: 378420 distinct values	High cardinality
`EKL_fehlende_infos_txt` has a high cardinality: 693 distinct values	High cardinality
`fg_abfahrt` has a high cardinality: 1400 distinct values	High cardinality
`fg_ankunft` has a high cardinality: 1416 distinct values	High cardinality
`fg_startort` has a high cardinality: 16108 distinct values	High cardinality
`fg_startort_uic` has a high cardinality: 14385 distinct values	High cardinality
`fg_via` has a high cardinality: 50375 distinct values	High cardinality
`fg_vm` has a high cardinality: 159831 distinct values	High cardinality
`fg_zielort` has a high cardinality: 15909 distinct values	High cardinality
`fg_zielort_uic` has a high cardinality: 14161 distinct values	High cardinality
`ft_abfahrt` has a high cardinality: 1394 distinct values	High cardinality
`ft_ankunft` has a high cardinality: 1407 distinct values	High cardinality
`ft_haltestellen` has a high cardinality: 25283 distinct values	High cardinality
`ft_startort` has a high cardinality: 7705 distinct values	High cardinality
`ft_startort_uic` has a high cardinality: 2843 distinct values	High cardinality
`ft_tu` has a high cardinality: 60 distinct values	High cardinality
`ft_uic_haltestellen` has a high cardinality: 33431 distinct values	High cardinality
`ft_vm` has a high cardinality: 31234 distinct values	High cardinality
`ft_zielort` has a high cardinality: 6649 distinct values	High cardinality
`ft_zielort_uic` has a high cardinality: 1836 distinct values	High cardinality
`ft_zug_nr` has a high cardinality: 20127 distinct values	High cardinality
`Kommentar` has a high cardinality: 146839 distinct values	High cardinality
`OES_grund_beeintraecht_other_txt` has a high cardinality: 3726 distinct values	High cardinality
`OES_grund_personal_negativ_txt` has a high cardinality: 874 distinct values	High cardinality
`participant_id` has a high cardinality: 546643 distinct values	High cardinality
`projectLfn` has a high cardinality: 224271 distinct values	High cardinality
`R_grund_nonuse_5txt` has a high cardinality: 2080 distinct values	High cardinality
`R_Park` has a high cardinality: 310 distinct values	High cardinality
`R_platz_andere_txt` has a high cardinality: 680 distinct values	High cardinality
`R_sauber_anderes_txt` has a high cardinality: 302 distinct values	High cardinality
`R_umsteig_andere_txt` has a high cardinality: 1256 distinct values	High cardinality
`R_unzuf_comfort_txt` has a high cardinality: 16840 distinct values	High cardinality
`R_unzuf_fahrplan_txt` has a high cardinality: 6690 distinct values	High cardinality
`R_unzuf_gastro_ambiente_txt` has a high cardinality: 156 distinct values	High cardinality
`R_unzuf_gastro_auswahl_txt` has a high cardinality: 179 distinct values	High cardinality
`R_unzuf_gastro_kompetenz_txt` has a high cardinality: 71 distinct values	High cardinality
`R_unzuf_gastro_preis_txt` has a high cardinality: 268 distinct values	High cardinality
`R_unzuf_info_txt` has a high cardinality: 3427 distinct values	High cardinality
`R_unzuf_mobile_txt` has a high cardinality: 5672 distinct values	High cardinality
`R_unzuf_platzangebot_txt` has a high cardinality: 9636 distinct values	High cardinality
`R_unzuf_preis_txt` has a high cardinality: 13736 distinct values	High cardinality
`R_unzuf_gastro_quality_txt` has a high cardinality: 99 distinct values	High cardinality
`R_unzuf_puenktlichkeit_txt` has a high cardinality: 6005 distinct values	High cardinality
`R_unzuf_Sauberkeit_Bhf_txt` has a high cardinality: 2556 distinct values	High cardinality
`R_unzuf_stoerungsinfo_txt` has a high cardinality: 3767 distinct values	High cardinality
`R_unzuf_wc_avail_txt` has a high cardinality: 6103 distinct values	High cardinality
`R_unzuf_wc_clean_txt` has a high cardinality: 4607 distinct values	High cardinality
`R_unzuf_Wegweisung_Bhf_txt` has a high cardinality: 2420 distinct values	High cardinality
`R_unzuf_zug_clean_txt` has a high cardinality: 11326 distinct values	High cardinality
`R_unzuf_zugpers_txt` has a high cardinality: 3210 distinct values	High cardinality
`R_Velo` has a high cardinality: 680 distinct values	High cardinality
`R_WC` has a high cardinality: 120 distinct values	High cardinality
`R_weg_andere_txt` has a high cardinality: 714 distinct values	High cardinality
`RF_kanal_other_txt` has a high cardinality: 2299 distinct values	High cardinality
`RF_mob_andere_txt` has a high cardinality: 483 distinct values	High cardinality
`RF_webs_andere_txt` has a high cardinality: 72 distinct values	High cardinality
`RF_zufallsitem1_label` has a high cardinality: 696 distinct values	High cardinality
`S_AB7txt` has a high cardinality: 4849 distinct values	High cardinality
`S_alter` has a high cardinality: 91 distinct values	High cardinality
`SF_kanal_other_txt` has a high cardinality: 1788 distinct values	High cardinality
`tag_zug_nr` has a high cardinality: 416276 distinct values	High cardinality
`u_artikel` has a high cardinality: 247 distinct values	High cardinality
`SF_unzuf_info_txt` has a high cardinality: 1511 distinct values	High cardinality
`u_date` has a high cardinality: 2111 distinct values	High cardinality
`u_hindatum` has a high cardinality: 2111 distinct values	High cardinality
`u_kaufdatum` has a high cardinality: 2144 distinct values	High cardinality
`u_preis` has a high cardinality: 2858 distinct values	High cardinality
`updatedAt` has a high cardinality: 461329 distinct values	High cardinality
`wime_unzuf_sf_txt` has a high cardinality: 1608 distinct values	High cardinality
`SF_kanal_zuf` is highly imbalanced (84.8%)	Imbalance
`wime_wc` is highly imbalanced (75.0%)	Imbalance
`wime_sf_behebung` is highly imbalanced (82.8%)	Imbalance
`wime_wc_verfuegb` is highly imbalanced (72.1%)	Imbalance
`wime_gastro_ambiente` is highly imbalanced (87.2%)	Imbalance
`wime_gastro_auswahl` is highly imbalanced (87.2%)	Imbalance
`wime_gastro_freundlich` is highly imbalanced (87.7%)	Imbalance
`wime_gastro_kompetenz` is highly imbalanced (87.6%)	Imbalance
`wime_gastro_preis` is highly imbalanced (87.1%)	Imbalance
`wime_gastro_qualitaet` is highly imbalanced (87.3%)	Imbalance
`BHF_park` is highly imbalanced (99.3%)	Imbalance
`BHF_platz` is highly imbalanced (94.8%)	Imbalance
`BHF_sauberkeit` is highly imbalanced (95.7%)	Imbalance
`BHF_share` is highly imbalanced (99.9%)	Imbalance
`BHF_umsteig` is highly imbalanced (94.7%)	Imbalance
`BHF_velo` is highly imbalanced (98.6%)	Imbalance
`BHF_wc` is highly imbalanced (99.6%)	Imbalance
`BHF_wegweisung` is highly imbalanced (96.3%)	Imbalance
`EKL_fehlende_infos_txt` is highly imbalanced (99.5%)	Imbalance
`EKL_info_nutzung` is highly imbalanced (96.3%)	Imbalance
`EKL_info_vermisst` is highly imbalanced (94.3%)	Imbalance
`EKL_info_zielerreichung` is highly imbalanced (90.0%)	Imbalance
`EKL_reiseaenderung` is highly imbalanced (76.5%)	Imbalance
`OES_zuf_personal_angemessen` is highly imbalanced (69.2%)	Imbalance
`OES_zuf_personal_aufmerksam` is highly imbalanced (68.2%)	Imbalance
`OES_zuf_personal_effekt` is highly imbalanced (67.3%)	Imbalance
`Wime_Sicherheit_BhfStart` is highly imbalanced (84.0%)	Imbalance
`Wime_WC_BhfStart` is highly imbalanced (97.6%)	Imbalance
`Wime_Velo_BhfStart` is highly imbalanced (91.6%)	Imbalance
`Wime_Park_BhfStart` is highly imbalanced (91.3%)	Imbalance
`Wime_Share_BhfStart` is highly imbalanced (99.0%)	Imbalance
`Wime_Sicherheit_BhfZiel` is highly imbalanced (86.3%)	Imbalance
`Wime_WC_BhfZiel` is highly imbalanced (97.6%)	Imbalance
`Wime_Velo_BhfZiel` is highly imbalanced (96.2%)	Imbalance
`Wime_Park_BhfZiel` is highly imbalanced (96.1%)	Imbalance
`Wime_Share_BhfZiel` is highly imbalanced (99.2%)	Imbalance
`wime_sicherheitskraft` is highly imbalanced (93.5%)	Imbalance
`fg_via` is highly imbalanced (51.5%)	Imbalance
`ft_tu` is highly imbalanced (70.0%)	Imbalance
`Kommentar` is highly imbalanced (64.0%)	Imbalance
`OES_beeintraechtigung` is highly imbalanced (78.2%)	Imbalance
`OES_grund_beeintraecht_1` is highly imbalanced (85.1%)	Imbalance
`OES_grund_beeintraecht_2` is highly imbalanced (85.2%)	Imbalance
`OES_grund_beeintraecht_3` is highly imbalanced (85.5%)	Imbalance
`OES_grund_beeintraecht_4` is highly imbalanced (85.3%)	Imbalance
`OES_grund_beeintraecht_5` is highly imbalanced (86.9%)	Imbalance
`OES_grund_beeintraecht_6` is highly imbalanced (87.6%)	Imbalance
`OES_grund_beeintraecht_7` is highly imbalanced (97.2%)	Imbalance
`OES_grund_beeintraecht_7_txt` is highly imbalanced (> 99.9%)	Imbalance
`OES_grund_beeintraecht_other` is highly imbalanced (85.2%)	Imbalance
`OES_grund_beeintraecht_other_txt` is highly imbalanced (98.3%)	Imbalance
`OES_grund_personal_negativ_txt` is highly imbalanced (99.6%)	Imbalance
`OES_personal_zug` is highly imbalanced (54.1%)	Imbalance
`R_abo_datum` is highly imbalanced (77.8%)	Imbalance
`R_abo_nutzung` is highly imbalanced (69.7%)	Imbalance
`R_abotk_klasse` is highly imbalanced (72.0%)	Imbalance
`R_gastro_catering` is highly imbalanced (64.4%)	Imbalance
`R_grund_nonuse_1` is highly imbalanced (89.6%)	Imbalance
`R_grund_nonuse_2` is highly imbalanced (89.9%)	Imbalance
`R_grund_nonuse_3` is highly imbalanced (89.9%)	Imbalance
`R_grund_nonuse_4` is highly imbalanced (89.3%)	Imbalance
`R_grund_nonuse_5` is highly imbalanced (88.8%)	Imbalance
`R_grund_nonuse_5txt` is highly imbalanced (98.3%)	Imbalance
`R_grund_nonuse_6` is highly imbalanced (89.0%)	Imbalance
`R_nutzung_retour` is highly imbalanced (86.8%)	Imbalance
`R_nutzung_tk` is highly imbalanced (86.0%)	Imbalance
`R_Park` is highly imbalanced (99.4%)	Imbalance
`R_platz_andere` is highly imbalanced (83.7%)	Imbalance
`R_platz_andere_txt` is highly imbalanced (98.7%)	Imbalance
`R_platz_gebauede` is highly imbalanced (83.8%)	Imbalance
`R_platz_perron_eng` is highly imbalanced (83.0%)	Imbalance
`R_platz_perron_leute` is highly imbalanced (83.0%)	Imbalance
`R_platz_unterf_eng` is highly imbalanced (83.4%)	Imbalance
`R_platz_unterf_leute` is highly imbalanced (82.9%)	Imbalance
`R_platz_vorbhf` is highly imbalanced (83.8%)	Imbalance
`R_platz_warte` is highly imbalanced (84.1%)	Imbalance
`R_sauber_anderes` is highly imbalanced (87.3%)	Imbalance
`R_sauber_anderes_txt` is highly imbalanced (99.4%)	Imbalance
`R_sauber_gebauede` is highly imbalanced (86.6%)	Imbalance
`R_sauber_perron` is highly imbalanced (86.4%)	Imbalance
`R_sauber_unterfuehrung` is highly imbalanced (86.4%)	Imbalance
`R_sauber_vorbhf` is highly imbalanced (86.4%)	Imbalance
`R_sauber_warte` is highly imbalanced (86.7%)	Imbalance
`R_sauber_WC` is highly imbalanced (86.9%)	Imbalance
`R_Sharing` is highly imbalanced (99.9%)	Imbalance
`R_stoerung` is highly imbalanced (50.1%)	Imbalance
`R_umsteig_andere` is highly imbalanced (83.1%)	Imbalance
`R_umsteig_andere_txt` is highly imbalanced (97.9%)	Imbalance
`R_umsteig_park` is highly imbalanced (84.6%)	Imbalance
`R_umsteig_trambus` is highly imbalanced (83.5%)	Imbalance
`R_umsteig_zug` is highly imbalanced (82.9%)	Imbalance
`R_unzuf_comfort_txt` is highly imbalanced (95.1%)	Imbalance
`R_unzuf_fahrplan_txt` is highly imbalanced (94.4%)	Imbalance
`R_unzuf_gastro_ambiente_txt` is highly imbalanced (87.8%)	Imbalance
`R_unzuf_gastro_auswahl_txt` is highly imbalanced (88.1%)	Imbalance
`R_unzuf_gastro_freundlich_txt` is highly imbalanced (84.2%)	Imbalance
`R_unzuf_gastro_kompetenz_txt` is highly imbalanced (85.6%)	Imbalance
`R_unzuf_gastro_preis_txt` is highly imbalanced (88.9%)	Imbalance
`R_unzuf_info_txt` is highly imbalanced (97.4%)	Imbalance
`R_unzuf_mobile_txt` is highly imbalanced (95.1%)	Imbalance
`R_unzuf_platzangebot_txt` is highly imbalanced (93.4%)	Imbalance
`R_unzuf_preis_txt` is highly imbalanced (89.1%)	Imbalance
`R_unzuf_gastro_quality_txt` is highly imbalanced (86.6%)	Imbalance
`R_unzuf_puenktlichkeit_txt` is highly imbalanced (95.6%)	Imbalance
`R_unzuf_Sauberkeit_Bhf_txt` is highly imbalanced (96.2%)	Imbalance
`R_unzuf_sicherheit_zug` is highly imbalanced (99.9%)	Imbalance
`R_unzuf_stoerungsinfo_txt` is highly imbalanced (97.9%)	Imbalance
`R_unzuf_wc_avail_txt` is highly imbalanced (98.0%)	Imbalance
`R_unzuf_wc_clean_txt` is highly imbalanced (98.5%)	Imbalance
`R_unzuf_Wegweisung_Bhf_txt` is highly imbalanced (96.4%)	Imbalance
`R_unzuf_zug_clean_txt` is highly imbalanced (96.6%)	Imbalance
`R_unzuf_zugpers_txt` is highly imbalanced (98.9%)	Imbalance
`R_Velo` is highly imbalanced (98.8%)	Imbalance
`R_WC` is highly imbalanced (99.7%)	Imbalance
`R_wc_nutzung` is highly imbalanced (54.5%)	Imbalance
`R_weg_andere` is highly imbalanced (88.4%)	Imbalance
`R_weg_andere_txt` is highly imbalanced (98.7%)	Imbalance
`R_weg_laeden` is highly imbalanced (88.9%)	Imbalance
`R_weg_park` is highly imbalanced (89.2%)	Imbalance
`R_weg_share` is highly imbalanced (89.3%)	Imbalance
`R_weg_trambus` is highly imbalanced (88.3%)	Imbalance
`R_weg_velo` is highly imbalanced (89.2%)	Imbalance
`R_weg_WC` is highly imbalanced (88.6%)	Imbalance
`R_weg_zug` is highly imbalanced (88.1%)	Imbalance
`RF_bhf_abfahrt` is highly imbalanced (71.1%)	Imbalance
`RF_bhf_andere` is highly imbalanced (74.9%)	Imbalance
`RF_bhf_perron` is highly imbalanced (72.5%)	Imbalance
`RF_bhf_touch` is highly imbalanced (74.9%)	Imbalance
`RF_kanal_14` is highly imbalanced (51.3%)	Imbalance
`RF_kanal_4` is highly imbalanced (64.1%)	Imbalance
`RF_kanal_6` is highly imbalanced (52.8%)	Imbalance
`RF_kanal_other` is highly imbalanced (51.7%)	Imbalance
`RF_kanal_other_txt` is highly imbalanced (98.1%)	Imbalance
`RF_mob_andere_txt` is highly imbalanced (98.7%)	Imbalance
`RF_webs_andere` is highly imbalanced (88.3%)	Imbalance
`RF_webs_andere_txt` is highly imbalanced (99.8%)	Imbalance
`RF_webs_erwsuche` is highly imbalanced (87.7%)	Imbalance
`RF_webs_fahrplan` is highly imbalanced (88.0%)	Imbalance
`RF_webs_karte` is highly imbalanced (88.1%)	Imbalance
`RF_zufallsitem1_label` is highly imbalanced (61.1%)	Imbalance
`S_AB1_GA2kl` is highly imbalanced (61.9%)	Imbalance
`S_AB2_GA` is highly imbalanced (53.6%)	Imbalance
`S_AB4` is highly imbalanced (64.7%)	Imbalance
`S_AB5` is highly imbalanced (51.8%)	Imbalance
`S_AB6` is highly imbalanced (72.4%)	Imbalance
`S_AB7` is highly imbalanced (66.0%)	Imbalance
`S_AB7txt` is highly imbalanced (90.0%)	Imbalance
`S_AB8` is highly imbalanced (51.5%)	Imbalance
`S_sex` is highly imbalanced (52.0%)	Imbalance
`S_sprache` is highly imbalanced (53.3%)	Imbalance
`S_wohnsitz` is highly imbalanced (80.7%)	Imbalance
`SF_kanal_1_zuf` is highly imbalanced (95.1%)	Imbalance
`SF_kanal_12_zuf` is highly imbalanced (91.0%)	Imbalance
`SF_kanal_13_zuf` is highly imbalanced (98.8%)	Imbalance
`SF_kanal_14_zuf` is highly imbalanced (98.1%)	Imbalance
`SF_kanal_2_zuf` is highly imbalanced (99.4%)	Imbalance
`SF_kanal_4_zuf` is highly imbalanced (99.2%)	Imbalance
`SF_kanal_6_zuf` is highly imbalanced (99.4%)	Imbalance
`SF_kanal_7_zuf` is highly imbalanced (93.8%)	Imbalance
`SF_kanal_8_zuf` is highly imbalanced (93.4%)	Imbalance
`SF_kanal_other_zuf` is highly imbalanced (98.2%)	Imbalance
`RF_kanal_8_Zuf` is highly imbalanced (51.4%)	Imbalance
`RF_kanal_13_Zuf` is highly imbalanced (51.5%)	Imbalance
`RF_kanal_14_Zuf` is highly imbalanced (50.7%)	Imbalance
`SF_bhf_abfahrt` is highly imbalanced (94.3%)	Imbalance
`SF_bhf_andere` is highly imbalanced (94.7%)	Imbalance
`SF_bhf_perron` is highly imbalanced (94.4%)	Imbalance
`SF_bhf_stoerung` is highly imbalanced (94.6%)	Imbalance
`SF_bhf_touch` is highly imbalanced (94.9%)	Imbalance
`SF_info_art_1` is highly imbalanced (74.9%)	Imbalance
`SF_info_art_2` is highly imbalanced (74.9%)	Imbalance
`SF_info_art_3` is highly imbalanced (76.2%)	Imbalance
`SF_info_art_4` is highly imbalanced (99.7%)	Imbalance
`SF_info_art_5` is highly imbalanced (75.1%)	Imbalance
`SF_info_art_6` is highly imbalanced (74.9%)	Imbalance
`SF_info_art_7` is highly imbalanced (83.9%)	Imbalance
`SF_kanal_1` is highly imbalanced (72.2%)	Imbalance
`SF_kanal_12` is highly imbalanced (71.3%)	Imbalance
`SF_kanal_13` is highly imbalanced (74.7%)	Imbalance
`SF_kanal_14` is highly imbalanced (74.2%)	Imbalance
`SF_kanal_15` is highly imbalanced (77.1%)	Imbalance
`SF_kanal_2` is highly imbalanced (75.3%)	Imbalance
`SF_kanal_4` is highly imbalanced (74.4%)	Imbalance
`SF_kanal_6` is highly imbalanced (75.2%)	Imbalance
`SF_kanal_7` is highly imbalanced (71.9%)	Imbalance
`SF_kanal_8` is highly imbalanced (71.8%)	Imbalance
`SF_kanal_keiner` is highly imbalanced (74.1%)	Imbalance
`SF_kanal_other` is highly imbalanced (74.2%)	Imbalance
`SF_kanal_other_txt` is highly imbalanced (97.9%)	Imbalance
`SF_mob_andere` is highly imbalanced (94.1%)	Imbalance
`SF_mob_andere_txt` is highly imbalanced (99.9%)	Imbalance
`SF_mob_autom` is highly imbalanced (93.6%)	Imbalance
`SF_mob_fahrplan` is highly imbalanced (93.9%)	Imbalance
`SF_mob_karte` is highly imbalanced (94.1%)	Imbalance
`u_artikel` is highly imbalanced (56.0%)	Imbalance
`SF_unzuf_info_txt` is highly imbalanced (98.7%)	Imbalance
`SF_Zufallsitem1` is highly imbalanced (86.4%)	Imbalance
`SF_Zufallsitem2` is highly imbalanced (88.5%)	Imbalance
`u_fahrausweis` is highly imbalanced (58.7%)	Imbalance
`u_ga` is highly imbalanced (57.1%)	Imbalance
`u_kategorie` is highly imbalanced (61.9%)	Imbalance
`u_klassencode` is highly imbalanced (66.6%)	Imbalance
`u_ticket` is highly imbalanced (50.2%)	Imbalance
`u_zusatz` is highly imbalanced (52.3%)	Imbalance
`wime_stoerungsinfo` is highly imbalanced (80.5%)	Imbalance
`wime_unzuf_sf_txt` is highly imbalanced (98.4%)	Imbalance
`SF_kanal_zuf` has 367364 (67.2%) missing values	Missing
`wime_kundenorientierung` has 367364 (67.2%) missing values	Missing
`wime_mobile` has 367364 (67.2%) missing values	Missing
`Wime_Sauberkeit_BhfZiel` has 328381 (60.1%) missing values	Missing
`Wime_Sauberkeit_BhfStart` has 328381 (60.1%) missing values	Missing
`wime_sf_behebung` has 367364 (67.2%) missing values	Missing
`Wime_Wegweisung_BhfZiel` has 328381 (60.1%) missing values	Missing
`Wime_Wegweisung_BhfStart` has 328381 (60.1%) missing values	Missing
`BFH_sahre_non` has 437164 (80.0%) missing values	Missing
`BFH_sahre_start` has 437164 (80.0%) missing values	Missing
`BFH_sahre_ziel` has 437164 (80.0%) missing values	Missing
`BHF_park` has 437162 (80.0%) missing values	Missing
`BHF_park_non` has 437164 (80.0%) missing values	Missing
`BHF_park_start` has 437164 (80.0%) missing values	Missing
`BHF_park_ziel` has 437164 (80.0%) missing values	Missing
`BHF_platz` has 437162 (80.0%) missing values	Missing
`BHF_sauberkeit` has 437162 (80.0%) missing values	Missing
`BHF_share` has 437162 (80.0%) missing values	Missing
`BHF_umsteig` has 437162 (80.0%) missing values	Missing
`BHF_velo` has 437162 (80.0%) missing values	Missing
`BHF_velo_non` has 437164 (80.0%) missing values	Missing
`BHF_velo_start` has 437164 (80.0%) missing values	Missing
`BHF_velo_ziel` has 437164 (80.0%) missing values	Missing
`BHF_wc` has 437162 (80.0%) missing values	Missing
`BHF_wegweisung` has 437162 (80.0%) missing values	Missing
`date_of_first_mail` has 367358 (67.2%) missing values	Missing
`date_of_last_access` has 165697 (30.3%) missing values	Missing
`device_type` has 328380 (60.1%) missing values	Missing
`dispcode` has 328380 (60.1%) missing values	Missing
`EKL_fehlende_infos_txt` has 219109 (40.1%) missing values	Missing
`EKL_info_nutzung` has 218263 (39.9%) missing values	Missing
`EKL_info_vermisst` has 218263 (39.9%) missing values	Missing
`EKL_info_zielerreichung` has 218263 (39.9%) missing values	Missing
`EKL_reiseaenderung` has 218263 (39.9%) missing values	Missing
`OES_zuf_personal_angemessen` has 109481 (20.0%) missing values	Missing
`OES_zuf_personal_aufmerksam` has 109481 (20.0%) missing values	Missing
`OES_zuf_personal_effekt` has 109481 (20.0%) missing values	Missing
`Wime_Platz_BhfStart` has 437164 (80.0%) missing values	Missing
`Wime_Umsteig_BhfStart` has 437164 (80.0%) missing values	Missing
`Wime_Sicherheit_BhfStart` has 437164 (80.0%) missing values	Missing
`Wime_WC_BhfStart` has 437164 (80.0%) missing values	Missing
`Wime_Velo_BhfStart` has 437164 (80.0%) missing values	Missing
`Wime_Park_BhfStart` has 437164 (80.0%) missing values	Missing
`Wime_Share_BhfStart` has 437164 (80.0%) missing values	Missing
`Wime_Platz_BhfZiel` has 437164 (80.0%) missing values	Missing
`Wime_Umsteig_BhfZiel` has 437164 (80.0%) missing values	Missing
`Wime_Sicherheit_BhfZiel` has 437164 (80.0%) missing values	Missing
`Wime_WC_BhfZiel` has 437164 (80.0%) missing values	Missing
`Wime_Velo_BhfZiel` has 437164 (80.0%) missing values	Missing
`Wime_Park_BhfZiel` has 437164 (80.0%) missing values	Missing
`Wime_Share_BhfZiel` has 437164 (80.0%) missing values	Missing
`wime_sicherheitskraft` has 437164 (80.0%) missing values	Missing
`fg_abfahrt` has 41207 (7.5%) missing values	Missing
`fg_ankunft` has 41209 (7.5%) missing values	Missing
`ft_abfahrt` has 55368 (10.1%) missing values	Missing
`ft_ankunft` has 55368 (10.1%) missing values	Missing
`ft_haltestellen` has 165697 (30.3%) missing values	Missing
`ft_tu` has 165697 (30.3%) missing values	Missing
`ft_uic_haltestellen` has 165697 (30.3%) missing values	Missing
`OES_beeintraechtigung` has 218263 (39.9%) missing values	Missing
`OES_grund_beeintraecht_2` has 218263 (39.9%) missing values	Missing
`OES_grund_beeintraecht_5` has 328381 (60.1%) missing values	Missing
`OES_grund_beeintraecht_6` has 328381 (60.1%) missing values	Missing
`OES_grund_beeintraecht_7` has 437164 (80.0%) missing values	Missing
`OES_grund_beeintraecht_7_txt` has 437164 (80.0%) missing values	Missing
`OES_grund_personal_negativ_txt` has 109481 (20.0%) missing values	Missing
`OES_personal_bhf_ziel` has 437164 (80.0%) missing values	Missing
`OES_personal_perron_ziel` has 437164 (80.0%) missing values	Missing
`OES_personal_wunsch` has 437164 (80.0%) missing values	Missing
`Ortskundigkeit` has 437164 (80.0%) missing values	Missing
`R_abo_datum` has 367363 (67.2%) missing values	Missing
`R_abo_nutzung` has 367363 (67.2%) missing values	Missing
`R_abotk_klasse` has 367363 (67.2%) missing values	Missing
`R_anschluss_1` has 367363 (67.2%) missing values	Missing
`R_anschluss_2` has 367363 (67.2%) missing values	Missing
`R_anschluss_3` has 367363 (67.2%) missing values	Missing
`R_grund_nonuse_1` has 328381 (60.1%) missing values	Missing
`R_grund_nonuse_2` has 328381 (60.1%) missing values	Missing
`R_grund_nonuse_3` has 328381 (60.1%) missing values	Missing
`R_grund_nonuse_4` has 328381 (60.1%) missing values	Missing
`R_grund_nonuse_5` has 328381 (60.1%) missing values	Missing
`R_grund_nonuse_5txt` has 328381 (60.1%) missing values	Missing
`R_grund_nonuse_6` has 328381 (60.1%) missing values	Missing
`R_kb_wunsch` has 367363 (67.2%) missing values	Missing
`R_nutzung_einfach` has 328380 (60.1%) missing values	Missing
`R_nutzung_retour` has 328380 (60.1%) missing values	Missing
`R_nutzung_tk` has 367363 (67.2%) missing values	Missing
`R_Park` has 437164 (80.0%) missing values	Missing
`R_platz_andere` has 437164 (80.0%) missing values	Missing
`R_platz_andere_txt` has 437164 (80.0%) missing values	Missing
`R_platz_gebauede` has 437164 (80.0%) missing values	Missing
`R_platz_perron_eng` has 437164 (80.0%) missing values	Missing
`R_platz_perron_leute` has 437164 (80.0%) missing values	Missing
`R_platz_unterf_eng` has 437164 (80.0%) missing values	Missing
`R_platz_unterf_leute` has 437164 (80.0%) missing values	Missing
`R_platz_vorbhf` has 437164 (80.0%) missing values	Missing
`R_platz_warte` has 437164 (80.0%) missing values	Missing
`R_sauber_anderes` has 437164 (80.0%) missing values	Missing
`R_sauber_anderes_txt` has 437164 (80.0%) missing values	Missing
`R_sauber_gebauede` has 437164 (80.0%) missing values	Missing
`R_sauber_perron` has 437164 (80.0%) missing values	Missing
`R_sauber_unterfuehrung` has 437164 (80.0%) missing values	Missing
`R_sauber_vorbhf` has 437164 (80.0%) missing values	Missing
`R_sauber_warte` has 437164 (80.0%) missing values	Missing
`R_sauber_WC` has 437164 (80.0%) missing values	Missing
`R_Sharing` has 437164 (80.0%) missing values	Missing
`R_umsteig_andere` has 437164 (80.0%) missing values	Missing
`R_umsteig_andere_txt` has 437164 (80.0%) missing values	Missing
`R_umsteig_park` has 437164 (80.0%) missing values	Missing
`R_umsteig_trambus` has 437164 (80.0%) missing values	Missing
`R_umsteig_zug` has 437164 (80.0%) missing values	Missing
`R_unzuf_comfort_txt` has 11957 (2.2%) missing values	Missing
`R_unzuf_fahrplan_txt` has 367364 (67.2%) missing values	Missing
`R_unzuf_info_txt` has 328381 (60.1%) missing values	Missing
`R_unzuf_mobile_txt` has 367364 (67.2%) missing values	Missing
`R_unzuf_platzangebot_txt` has 328381 (60.1%) missing values	Missing
`R_unzuf_preis_txt` has 367364 (67.2%) missing values	Missing
`R_unzuf_puenktlichkeit_txt` has 328381 (60.1%) missing values	Missing
`R_unzuf_Sauberkeit_Bhf_txt` has 437861 (80.1%) missing values	Missing
`R_unzuf_sicherheit_zug` has 437164 (80.0%) missing values	Missing
`R_unzuf_stoerungsinfo_txt` has 218263 (39.9%) missing values	Missing
`R_unzuf_Wegweisung_Bhf_txt` has 437861 (80.1%) missing values	Missing
`R_Velo` has 437164 (80.0%) missing values	Missing
`R_WC` has 437164 (80.0%) missing values	Missing
`R_wc_na_start` has 437164 (80.0%) missing values	Missing
`R_wc_na_ziel` has 437164 (80.0%) missing values	Missing
`R_wc_na_zug` has 437164 (80.0%) missing values	Missing
`R_wc_start` has 437164 (80.0%) missing values	Missing
`R_wc_ziel` has 437164 (80.0%) missing values	Missing
`R_wc_zug` has 437164 (80.0%) missing values	Missing
`R_weg_andere` has 437164 (80.0%) missing values	Missing
`R_weg_andere_txt` has 437164 (80.0%) missing values	Missing
`R_weg_laeden` has 437164 (80.0%) missing values	Missing
`R_weg_park` has 437164 (80.0%) missing values	Missing
`R_weg_share` has 437164 (80.0%) missing values	Missing
`R_weg_trambus` has 437164 (80.0%) missing values	Missing
`R_weg_velo` has 437164 (80.0%) missing values	Missing
`R_weg_WC` has 437164 (80.0%) missing values	Missing
`R_weg_zug` has 437164 (80.0%) missing values	Missing
`RF_bhf_abfahrt` has 437164 (80.0%) missing values	Missing
`RF_bhf_andere` has 437164 (80.0%) missing values	Missing
`RF_bhf_perron` has 437164 (80.0%) missing values	Missing
`RF_bhf_touch` has 437164 (80.0%) missing values	Missing
`RF_kanal_1` has 299312 (54.8%) missing values	Missing
`RF_kanal_12` has 299312 (54.8%) missing values	Missing
`RF_kanal_13` has 299312 (54.8%) missing values	Missing
`RF_kanal_14` has 299312 (54.8%) missing values	Missing
`RF_kanal_15` has 437164 (80.0%) missing values	Missing
`RF_kanal_2` has 299312 (54.8%) missing values	Missing
`RF_kanal_4` has 408792 (74.8%) missing values	Missing
`RF_kanal_6` has 299312 (54.8%) missing values	Missing
`RF_kanal_7` has 299312 (54.8%) missing values	Missing
`RF_kanal_8` has 299312 (54.8%) missing values	Missing
`RF_kanal_keiner` has 299312 (54.8%) missing values	Missing
`RF_kanal_other` has 299312 (54.8%) missing values	Missing
`RF_kanal_other_txt` has 299312 (54.8%) missing values	Missing
`RF_mob_andere` has 437164 (80.0%) missing values	Missing
`RF_mob_andere_txt` has 437164 (80.0%) missing values	Missing
`RF_mob_autom` has 437164 (80.0%) missing values	Missing
`RF_mob_fahrplan` has 437164 (80.0%) missing values	Missing
`RF_mob_karte` has 437164 (80.0%) missing values	Missing
`RF_webs_andere` has 437164 (80.0%) missing values	Missing
`RF_webs_andere_txt` has 437164 (80.0%) missing values	Missing
`RF_webs_erwsuche` has 437164 (80.0%) missing values	Missing
`RF_webs_fahrplan` has 437164 (80.0%) missing values	Missing
`RF_webs_karte` has 437164 (80.0%) missing values	Missing
`RF_Zufallsitem1` has 227748 (41.7%) missing values	Missing
`RF_zufallsitem1_label` has 301740 (55.2%) missing values	Missing
`S_AB1_GA2kl` has 218263 (39.9%) missing values	Missing
`S_AB2_GA` has 328380 (60.1%) missing values	Missing
`S_AB2_GA1kl` has 218263 (39.9%) missing values	Missing
`S_berufstaetigkeit` has 367363 (67.2%) missing values	Missing
`S_Usertyp1` has 367363 (67.2%) missing values	Missing
`S_Usertyp2` has 367363 (67.2%) missing values	Missing
`S_Usertyp3` has 367363 (67.2%) missing values	Missing
`SF_kanal_1_zuf` has 179285 (32.8%) missing values	Missing
`SF_kanal_12_zuf` has 179285 (32.8%) missing values	Missing
`SF_kanal_13_zuf` has 179285 (32.8%) missing values	Missing
`SF_kanal_14_zuf` has 179285 (32.8%) missing values	Missing
`SF_kanal_2_zuf` has 179285 (32.8%) missing values	Missing
`SF_kanal_4_zuf` has 179285 (32.8%) missing values	Missing
`SF_kanal_6_zuf` has 179285 (32.8%) missing values	Missing
`SF_kanal_7_zuf` has 179285 (32.8%) missing values	Missing
`SF_kanal_8_zuf` has 179285 (32.8%) missing values	Missing
`SF_kanal_other_zuf` has 179285 (32.8%) missing values	Missing
`RF_kanal_1_Zuf` has 463585 (84.8%) missing values	Missing
`RF_kanal_2_Zuf` has 537352 (98.3%) missing values	Missing
`RF_kanal_4_Zuf` has 543761 (99.5%) missing values	Missing
`RF_kanal_6_Zuf` has 545920 (99.9%) missing values	Missing
`RF_kanal_7_Zuf` has 541656 (99.1%) missing values	Missing
`RF_kanal_8_Zuf` has 528956 (96.8%) missing values	Missing
`RF_kanal_12_Zuf` has 537123 (98.3%) missing values	Missing
`RF_kanal_13_Zuf` has 535744 (98.0%) missing values	Missing
`RF_kanal_14_Zuf` has 543242 (99.4%) missing values	Missing
`RF_kanal_24_Zuf` has 546643 (100.0%) missing values	Missing
`SF_bhf_abfahrt` has 437164 (80.0%) missing values	Missing
`SF_bhf_andere` has 437164 (80.0%) missing values	Missing
`SF_bhf_perron` has 437164 (80.0%) missing values	Missing
`SF_bhf_stoerung` has 437164 (80.0%) missing values	Missing
`SF_bhf_touch` has 437164 (80.0%) missing values	Missing
`SF_info_art_4` has 179285 (32.8%) missing values	Missing
`SF_kanal_15` has 437164 (80.0%) missing values	Missing
`SF_kanal_4` has 109481 (20.0%) missing values	Missing
`SF_mob_andere` has 437164 (80.0%) missing values	Missing
`SF_mob_andere_txt` has 437164 (80.0%) missing values	Missing
`SF_mob_autom` has 437164 (80.0%) missing values	Missing
`SF_mob_fahrplan` has 437164 (80.0%) missing values	Missing
`SF_mob_karte` has 437164 (80.0%) missing values	Missing
`u_artikel` has 165697 (30.3%) missing values	Missing
`SF_unzuf_info_txt` has 328381 (60.1%) missing values	Missing
`SF_Zufallsitem1` has 367358 (67.2%) missing values	Missing
`SF_Zufallsitem2` has 367358 (67.2%) missing values	Missing
`u_fahrausweis` has 367363 (67.2%) missing values	Missing
`u_ga` has 218263 (39.9%) missing values	Missing
`u_kategorie` has 379465 (69.4%) missing values	Missing
`u_kaufdatum` has 50958 (9.3%) missing values	Missing
`u_zusatz` has 54952 (10.1%) missing values	Missing
`wime_stoerungsinfo` has 218263 (39.9%) missing values	Missing
`wime_unzuf_sf_txt` has 367364 (67.2%) missing values	Missing
`participant` has unique values	Unique
`participant_id` has unique values	Unique
`file_name` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`RF_kanal_24_Zuf` is an unsupported type, check if it needs cleaning or further analysis	Unsupported

Reproduction

Analysis started	2023-01-04 16:46:44.772362
Analysis finished	2023-01-04 16:47:41.272608
Duration	56.5 seconds
Software version	pandas-profiling vv3.6.2
Download configuration	config.json

time
Date

Distinct	2111
Distinct (%)	0.4%
Missing	96
Missing (%)	< 0.1%
Memory size	4.2 MiB

Minimum	2017-01-01 00:00:00
Maximum	2023-01-03 00:00:00

Histogram

Histogram with fixed size bins (bins=50)

participant
Real number (ℝ)

Distinct	546643
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	311748.3125

Minimum	1
Maximum	604555
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	4.2 MiB

Quantile statistics

Minimum	1
5-th percentile	27333.1
Q1	181466.5
median	318127
Q3	465237.5
95-th percentile	576169.9
Maximum	604555
Range	604554
Interquartile range (IQR)	283771

Descriptive statistics

Standard deviation	175943.447
Coefficient of variation (CV)	0.5643765817
Kurtosis	-1.150042744
Mean	311748.3125
Median Absolute Deviation (MAD)	141886
Skewness	-0.1245952288
Sum	1.704150328 × 10¹¹
Variance	3.095609653 × 10¹⁰
Monotonicity	Strictly increasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	1	< 0.1%
410231	1	< 0.1%
410245	1	< 0.1%
410244	1	< 0.1%
410243	1	< 0.1%
410242	1	< 0.1%
410241	1	< 0.1%
410240	1	< 0.1%
410239	1	< 0.1%
410238	1	< 0.1%
Other values (546633)	546633	> 99.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	1	< 0.1%
2	1	< 0.1%
3	1	< 0.1%
4	1	< 0.1%
5	1	< 0.1%

Value	Count	Frequency (%)
604555	1	< 0.1%
604554	1	< 0.1%
604553	1	< 0.1%
604552	1	< 0.1%
604551	1	< 0.1%

UmfrageName
Categorical

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	4.2 MiB

kuzu_zug	546643

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	kuzu_zug
2nd row	kuzu_zug
3rd row	kuzu_zug
4th row	kuzu_zug
5th row	kuzu_zug

Common Values

Value	Count	Frequency (%)
kuzu_zug	546643	100.0%

Common Values (Plot)

file_name
Unsupported

REJECTED UNSUPPORTED

Missing	0
Missing (%)	0.0%
Memory size	4.2 MiB

wime_puenktlich
Categorical

Distinct	12
Distinct (%)	< 0.1%
Missing	1
Missing (%)	< 0.1%
Memory size	4.2 MiB

10	201959
5	119570
-77	66804
9	46850
4	30524
Other values (7)	80935

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	10
2nd row	10
3rd row	10
4th row	9
5th row	10

Common Values

Value	Count	Frequency (%)
10	201959	36.9%
5	119570	21.9%
-77	66804	12.2%
9	46850	8.6%
4	30524	5.6%
8	29246	5.4%
1	12532	2.3%
7	12100	2.2%
3	10631	1.9%
2	6271	1.1%
Other values (2)	10155	1.9%

wime_komfort
Categorical

Distinct	12
Distinct (%)	< 0.1%
Missing	4182
Missing (%)	0.8%
Memory size	4.2 MiB

5	89455
10	88437
8	70001
-77	65667
4	62150
Other values (7)	166751

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	10
2nd row	10
3rd row	10
4th row	9
5th row	10

Common Values

Value	Count	Frequency (%)
5	89455	16.4%
10	88437	16.2%
8	70001	12.8%
-77	65667	12.0%
4	62150	11.4%
9	53248	9.7%
7	42572	7.8%
6	23275	4.3%
3	22500	4.1%
2	8444	1.5%
Other values (2)	16712	3.1%

wime_fahrplan
Categorical

Distinct	12
Distinct (%)	< 0.1%
Missing	1
Missing (%)	< 0.1%
Memory size	4.2 MiB

5	148842
10	118894
8	59631
4	55199
9	48898
Other values (7)	115178

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	10
2nd row	6
3rd row	10
4th row	4
5th row	10

Common Values

Value	Count	Frequency (%)
5	148842	27.2%
10	118894	21.7%
8	59631	10.9%
4	55199	10.1%
9	48898	8.9%
7	32886	6.0%
3	23030	4.2%
6	17548	3.2%
1	12910	2.4%
2	10813	2.0%
Other values (2)	17991	3.3%

SF_kanal_zuf
Categorical

IMBALANCE MISSING

Distinct	7
Distinct (%)	< 0.1%
Missing	367364
Missing (%)	67.2%
Memory size	4.2 MiB

-77	169425
5	3437
4	2848
3	1804
2	839
Other values (2)	926

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	-77
2nd row	-77
3rd row	-77
4th row	-77
5th row	-77

Common Values

Value	Count	Frequency (%)
-77	169425	31.0%
5	3437	0.6%
4	2848	0.5%
3	1804	0.3%
2	839	0.2%
1	703	0.1%
weiss nicht	223	< 0.1%
(Missing)	367364	67.2%

Common Values (Plot)

wime_infokanal
Categorical

Distinct	13
Distinct (%)	< 0.1%
Missing	1
Missing (%)	< 0.1%
Memory size	4.2 MiB

-77	244538
5	107509
10	69202
4	37284
9	26229
Other values (8)	61880

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	10
2nd row	10
3rd row	10
4th row	10
5th row	10

Common Values

Value	Count	Frequency (%)
-77	244538	44.7%
5	107509	19.7%
10	69202	12.7%
4	37284	6.8%
9	26229	4.8%
8	23366	4.3%
7	9975	1.8%
3	9114	1.7%
weiss nicht	7950	1.5%
6	4520	0.8%
Other values (3)	6955	1.3%

wime_personal
Categorical

Distinct	12
Distinct (%)	< 0.1%
Missing	1
Missing (%)	< 0.1%
Memory size	4.2 MiB

-77	267399
10	89346
weiss nicht	53112
5	52477
9	25707
Other values (7)	58601

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	-77
2nd row	-77
3rd row	10
4th row	10
5th row	-77

Common Values

Value	Count	Frequency (%)
-77	267399	48.9%
10	89346	16.3%
weiss nicht	53112	9.7%
5	52477	9.6%
9	25707	4.7%
8	23164	4.2%
4	15332	2.8%
7	8937	1.6%
6	3870	0.7%
3	3821	0.7%
Other values (2)	3477	0.6%

wime_kundenorientierung
Categorical

Distinct	7
Distinct (%)	< 0.1%
Missing	367364
Missing (%)	67.2%
Memory size	4.2 MiB

-77	71541
5	44310
4	40624
3	11422
weiss nicht	6933
Other values (2)	4449

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	-77
2nd row	5
3rd row	-77
4th row	-77
5th row	-77

Common Values

Value	Count	Frequency (%)
-77	71541	13.1%
5	44310	8.1%
4	40624	7.4%
3	11422	2.1%
weiss nicht	6933	1.3%
2	2964	0.5%
1	1485	0.3%
(Missing)	367364	67.2%

Common Values (Plot)

wime_mobile
Categorical

Distinct	7
Distinct (%)	< 0.1%
Missing	367364
Missing (%)	67.2%
Memory size	4.2 MiB

-77	51691
5	43489
4	31702
weiss nicht	31288
3	12867
Other values (2)	8242

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	-77
2nd row	5
3rd row	-77
4th row	-77
5th row	-77

Common Values

Value	Count	Frequency (%)
-77	51691	9.5%
5	43489	8.0%
4	31702	5.8%
weiss nicht	31288	5.7%
3	12867	2.4%
2	5224	1.0%
1	3018	0.6%
(Missing)	367364	67.2%

Common Values (Plot)

wime_platzangebot
Categorical

Distinct	12
Distinct (%)	< 0.1%
Missing	1
Missing (%)	< 0.1%
Memory size	4.2 MiB

10	134433
5	104883
-77	66804
8	49803
4	47723
Other values (7)	142996

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	10
2nd row	6
3rd row	10
4th row	10
5th row	10

Common Values

Value	Count	Frequency (%)
10	134433	24.6%
5	104883	19.2%
-77	66804	12.2%
8	49803	9.1%
4	47723	8.7%
9	42398	7.8%
7	28634	5.2%
3	24022	4.4%
6	16576	3.0%
1	16340	3.0%
Other values (2)	15026	2.7%

wime_preis_leistung
Categorical

Distinct	12
Distinct (%)	< 0.1%
Missing	1
Missing (%)	< 0.1%
Memory size	4.2 MiB

5	110090
4	79123
10	73110
8	52899
3	50640
Other values (7)	180780

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	10
2nd row	4
3rd row	10
4th row	7
5th row	10

Common Values

Value	Count	Frequency (%)
5	110090	20.1%
4	79123	14.5%
10	73110	13.4%
8	52899	9.7%
3	50640	9.3%
7	43074	7.9%
-77	38811	7.1%
6	28542	5.2%
9	28345	5.2%
2	19938	3.6%
Other values (2)	22070	4.0%

Wime_Sauberkeit_BhfZiel
Categorical

Distinct	7
Distinct (%)	< 0.1%
Missing	328381
Missing (%)	60.1%
Memory size	4.2 MiB

4	68629
5	62724
-77	52606
3	20592
weiss nicht	9392
Other values (2)	4319

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	4
2nd row	5
3rd row	5
4th row	weiss nicht
5th row	5

Common Values

Value	Count	Frequency (%)
4	68629	12.6%
5	62724	11.5%
-77	52606	9.6%
3	20592	3.8%
weiss nicht	9392	1.7%
2	3403	0.6%
1	916	0.2%
(Missing)	328381	60.1%

Common Values (Plot)

Wime_Sauberkeit_BhfStart
Categorical

Distinct	7
Distinct (%)	< 0.1%
Missing	328381
Missing (%)	60.1%
Memory size	4.2 MiB

4	69235
5	62965
-77	52606
3	20666
weiss nicht	8145
Other values (2)	4645

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	4
2nd row	5
3rd row	4
4th row	5
5th row	5

Common Values

Value	Count	Frequency (%)
4	69235	12.7%
5	62965	11.5%
-77	52606	9.6%
3	20666	3.8%
weiss nicht	8145	1.5%
2	3592	0.7%
1	1053	0.2%
(Missing)	328381	60.1%

Common Values (Plot)

wime_sauberkeit
Categorical

Distinct	12
Distinct (%)	< 0.1%
Missing	1
Missing (%)	< 0.1%
Memory size	4.2 MiB

10	91319
5	87646
8	72496
-77	66804
4	65981
Other values (7)	162396

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	10
2nd row	10
3rd row	10
4th row	9
5th row	5

Common Values

Value	Count	Frequency (%)
10	91319	16.7%
5	87646	16.0%
8	72496	13.3%
-77	66804	12.2%
4	65981	12.1%
9	56524	10.3%
7	42740	7.8%
3	24469	4.5%
6	21813	4.0%
2	7611	1.4%
Other values (2)	9239	1.7%

wime_wc
Categorical

Distinct	12
Distinct (%)	< 0.1%
Missing	1
Missing (%)	< 0.1%
Memory size	4.2 MiB

-77	482817
5	11087
4	10603
8	7762
10	7676
Other values (7)	26697

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	-77
2nd row	-77
3rd row	-77
4th row	-77
5th row	-77

Common Values

Value	Count	Frequency (%)
-77	482817	88.3%
5	11087	2.0%
4	10603	1.9%
8	7762	1.4%
10	7676	1.4%
3	6044	1.1%
7	5709	1.0%
9	5172	0.9%
6	3825	0.7%
2	2637	0.5%
Other values (2)	3310	0.6%

wime_oes_ziel
Categorical

Distinct	13
Distinct (%)	< 0.1%
Missing	1
Missing (%)	< 0.1%
Memory size	4.2 MiB

10	135140
5	88728
-77	79375
9	67427
8	60114
Other values (8)	115858

Overview
Categories

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	10
2nd row	10
3rd row	10
4th row	10
5th row	10

Common Values

Value	Count	Frequency (%)
10	135140	24.7%
5	88728	16.2%
-77	79375	14.5%
9	67427	12.3%
8	60114	11.0%
4	48066	8.8%
7	28952	5.3%
3	14465	2.6%
6	13569	2.5%
weiss nicht	4802	0.9%
Other values (3)	6004	1.1%

wime_oes_start
Categorical

Distinct	12
Distinct (%)	< 0.1%
Missing	1
Missing (%)	< 0.1%
Memory size	4.2 MiB

10	150932
5	95593
-77	81620
9	63632
8	55703
Other values (7)	99162

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	10
2nd row	10
3rd row	10
4th row	10
5th row	10

Common Values

Value	Count	Frequency (%)
10	150932	27.6%
5	95593	17.5%
-77	81620	14.9%
9	63632	11.6%
8	55703	10.2%
4	43200	7.9%
7	24889	4.6%
3	11428	2.1%
6	10525	1.9%
weiss nicht	3926	0.7%
Other values (2)	5194	1.0%

wime_oes_fahrt
Categorical

Distinct	13
Distinct (%)	< 0.1%
Missing	1
Missing (%)	< 0.1%
Memory size	4.2 MiB

10	168056
5	102652
-77	81620
9	70396
8	51206
Other values (8)	72712

Overview
Categories

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	10
2nd row	10
3rd row	10
4th row	10
5th row	10

Common Values

Value	Count	Frequency (%)
10	168056	30.7%
5	102652	18.8%
-77	81620	14.9%
9	70396	12.9%
8	51206	9.4%
4	37362	6.8%
7	17387	3.2%
3	6458	1.2%
6	6313	1.2%
weiss nicht	1933	0.4%
Other values (3)	3259	0.6%

wime_sf_behebung
Categorical

IMBALANCE MISSING

Distinct	7
Distinct (%)	< 0.1%
Missing	367364
Missing (%)	67.2%
Memory size	4.2 MiB

-77	168354
5	2700
4	2672
3	2125
1	1291
Other values (2)	2137

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	-77
2nd row	-77
3rd row	-77
4th row	-77
5th row	-77

Common Values

Value	Count	Frequency (%)
-77	168354	30.8%
5	2700	0.5%
4	2672	0.5%
3	2125	0.4%
1	1291	0.2%
weiss nicht	1094	0.2%
2	1043	0.2%
(Missing)	367364	67.2%

Common Values (Plot)

wime_wc_verfuegb
Categorical

Distinct	12
Distinct (%)	< 0.1%
Missing	1
Missing (%)	< 0.1%
Memory size	4.2 MiB

-77	473562
5	13879
10	13494
4	9292
8	7556
Other values (7)	28859

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	-77
2nd row	weiss nicht
3rd row	-77
4th row	-77
5th row	-77

Common Values

Value	Count	Frequency (%)
-77	473562	86.6%
5	13879	2.5%
10	13494	2.5%
4	9292	1.7%
8	7556	1.4%
9	6412	1.2%
1	5525	1.0%
3	4490	0.8%
7	4464	0.8%
weiss nicht	2749	0.5%
Other values (2)	5219	1.0%

wime_gastro_ambiente
Categorical

Distinct	13
Distinct (%)	< 0.1%
Missing	1
Missing (%)	< 0.1%
Memory size	4.2 MiB

-77	517366
weiss nicht	5163
8	4381
10	3839
5	3683
Other values (8)	12210

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	-77
2nd row	-77
3rd row	-77
4th row	-77
5th row	-77

Common Values

Value	Count	Frequency (%)
-77	517366	94.6%
weiss nicht	5163	0.9%
8	4381	0.8%
10	3839	0.7%
5	3683	0.7%
7	3022	0.6%
4	2872	0.5%
9	2710	0.5%
6	1799	0.3%
3	1117	0.2%
Other values (3)	690	0.1%

wime_gastro_auswahl
Categorical

Distinct	13
Distinct (%)	< 0.1%
Missing	1
Missing (%)	< 0.1%
Memory size	4.2 MiB

-77	517366
weiss nicht	6598
8	3691
10	3680
5	3352
Other values (8)	11955

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	-77
2nd row	-77
3rd row	-77
4th row	-77
5th row	-77

Common Values

Value	Count	Frequency (%)
-77	517366	94.6%
weiss nicht	6598	1.2%
8	3691	0.7%
10	3680	0.7%
5	3352	0.6%
4	2783	0.5%
7	2782	0.5%
9	2313	0.4%
6	1723	0.3%
3	1350	0.2%
Other values (3)	1004	0.2%

wime_gastro_freundlich
Categorical

Distinct	13
Distinct (%)	< 0.1%
Missing	1
Missing (%)	< 0.1%
Memory size	4.2 MiB

-77	517366
10	7844
weiss nicht	5690
5	4036
9	3443
Other values (8)	8263

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	-77
2nd row	-77
3rd row	-77
4th row	-77
5th row	-77

Common Values

Value	Count	Frequency (%)
-77	517366	94.6%
10	7844	1.4%
weiss nicht	5690	1.0%
5	4036	0.7%
9	3443	0.6%
8	3386	0.6%
7	1588	0.3%
4	1484	0.3%
6	812	0.1%
3	476	0.1%
Other values (3)	517	0.1%

wime_gastro_kompetenz
Categorical

Distinct	13
Distinct (%)	< 0.1%
Missing	1
Missing (%)	< 0.1%
Memory size	4.2 MiB

-77	517366
weiss nicht	6934
10	6386
5	3606
8	3529
Other values (8)	8821

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	-77
2nd row	-77
3rd row	-77
4th row	-77
5th row	-77

Common Values

Value	Count	Frequency (%)
-77	517366	94.6%
weiss nicht	6934	1.3%
10	6386	1.2%
5	3606	0.7%
8	3529	0.6%
9	3102	0.6%
7	1843	0.3%
4	1824	0.3%
6	928	0.2%
3	569	0.1%
Other values (3)	555	0.1%

wime_gastro_preis
Categorical

Distinct	13
Distinct (%)	< 0.1%
Missing	1
Missing (%)	< 0.1%
Memory size	4.2 MiB

-77	517366
weiss nicht	5477
5	3618
4	3556
8	3407
Other values (8)	13218

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	-77
2nd row	-77
3rd row	-77
4th row	-77
5th row	-77

Common Values

Value	Count	Frequency (%)
-77	517366	94.6%
weiss nicht	5477	1.0%
5	3618	0.7%
4	3556	0.7%
8	3407	0.6%
7	2975	0.5%
10	2362	0.4%
6	2347	0.4%
3	2083	0.4%
9	1823	0.3%
Other values (3)	1628	0.3%

wime_gastro_qualitaet
Categorical

Distinct	13
Distinct (%)	< 0.1%
Missing	1
Missing (%)	< 0.1%
Memory size	4.2 MiB

-77	517366
weiss nicht	5815
10	4544
8	4143
5	3536
Other values (8)	11238

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	-77
2nd row	-77
3rd row	-77
4th row	-77
5th row	-77

Common Values

Value	Count	Frequency (%)
-77	517366	94.6%
weiss nicht	5815	1.1%
10	4544	0.8%
8	4143	0.8%
5	3536	0.6%
9	2919	0.5%
7	2614	0.5%
4	2605	0.5%
6	1480	0.3%
3	935	0.2%
Other values (3)	685	0.1%

Wime_Wegweisung_BhfZiel
Categorical

Distinct	7
Distinct (%)	< 0.1%
Missing	328381
Missing (%)	60.1%
Memory size	4.2 MiB

5	81443
4	57607
-77	52606
3	14457
weiss nicht	8086
Other values (2)	4063

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	3
2nd row	5
3rd row	4
4th row	5
5th row	5

Common Values

Value	Count	Frequency (%)
5	81443	14.9%
4	57607	10.5%
-77	52606	9.6%
3	14457	2.6%
weiss nicht	8086	1.5%
2	3001	0.5%
1	1062	0.2%
(Missing)	328381	60.1%

Common Values (Plot)

Wime_Wegweisung_BhfStart
Categorical

Distinct	7
Distinct (%)	< 0.1%
Missing	328381
Missing (%)	60.1%
Memory size	4.2 MiB

5	86646
4	56079
-77	52606
3	12562
weiss nicht	6827
Other values (2)	3542

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	3
2nd row	5
3rd row	5
4th row	5
5th row	5

Common Values

Value	Count	Frequency (%)
5	86646	15.9%
4	56079	10.3%
-77	52606	9.6%
3	12562	2.3%
weiss nicht	6827	1.2%
2	2598	0.5%
1	944	0.2%
(Missing)	328381	60.1%

Common Values (Plot)

BFH_sahre_non
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	437164
Missing (%)	80.0%
Memory size	4.2 MiB

quoted	64858
-77	44193
not quoted	428

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	quoted
2nd row	quoted
3rd row	-77
4th row	-77
5th row	quoted

Common Values

Value	Count	Frequency (%)
quoted	64858	11.9%
-77	44193	8.1%
not quoted	428	0.1%
(Missing)	437164	80.0%

Common Values (Plot)

BFH_sahre_start
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	437164
Missing (%)	80.0%
Memory size	4.2 MiB

-77	54931
not quoted	54302
quoted	246

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	-77
2nd row	not quoted
3rd row	-77
4th row	-77
5th row	-77

Common Values

Value	Count	Frequency (%)
-77	54931	10.0%
not quoted	54302	9.9%
quoted	246	< 0.1%
(Missing)	437164	80.0%

Common Values (Plot)

BFH_sahre_ziel
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	437164
Missing (%)	80.0%
Memory size	4.2 MiB

-77	66557
not quoted	42716
quoted	206

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	not quoted
2nd row	not quoted
3rd row	-77
4th row	-77
5th row	not quoted

Common Values

Value	Count	Frequency (%)
-77	66557	12.2%
not quoted	42716	7.8%
quoted	206	< 0.1%
(Missing)	437164	80.0%

Common Values (Plot)

BHF_park
Categorical

HIGH CARDINALITY IMBALANCE MISSING

Distinct	145
Distinct (%)	0.1%
Missing	437162
Missing (%)	80.0%
Memory size	4.2 MiB

-66	109124
Sion	17
Olten	16
Bern	11
Lugano	10
Other values (140)	303

Overview
Categories

Unique

Unique	87 ?
Unique (%)	0.1%

Sample

1st row	-66
2nd row	-66
3rd row	-66
4th row	-66
5th row	-66

Common Values

Value	Count	Frequency (%)
-66	109124	20.0%
Sion	17	< 0.1%
Olten	16	< 0.1%
Bern	11	< 0.1%
Lugano	10	< 0.1%
Täsch	9	< 0.1%
Coppet	9	< 0.1%
Nyon	9	< 0.1%
Neuchâtel	8	< 0.1%
Visp	8	< 0.1%
Other values (135)	260	< 0.1%
(Missing)	437162	80.0%

BHF_park_non
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	437164
Missing (%)	80.0%
Memory size	4.2 MiB

quoted	60959
-77	44193
not quoted	4327

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	quoted
2nd row	quoted
3rd row	-77
4th row	-77
5th row	quoted

Common Values

Value	Count	Frequency (%)
quoted	60959	11.2%
-77	44193	8.1%
not quoted	4327	0.8%
(Missing)	437164	80.0%

Common Values (Plot)

BHF_park_start
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	437164
Missing (%)	80.0%
Memory size	4.2 MiB

-77	54931
not quoted	51411
quoted	3137

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	-77
2nd row	not quoted
3rd row	-77
4th row	-77
5th row	-77

Common Values

Value	Count	Frequency (%)
-77	54931	10.0%
not quoted	51411	9.4%
quoted	3137	0.6%
(Missing)	437164	80.0%

Common Values (Plot)

BHF_park_ziel
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	437164
Missing (%)	80.0%
Memory size	4.2 MiB

-77	66557
not quoted	41715
quoted	1207

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	not quoted
2nd row	not quoted
3rd row	-77
4th row	-77
5th row	not quoted

Common Values

Value	Count	Frequency (%)
-77	66557	12.2%
not quoted	41715	7.6%
quoted	1207	0.2%
(Missing)	437164	80.0%

Common Values (Plot)

BHF_platz
Categorical

HIGH CARDINALITY IMBALANCE MISSING

Distinct	425
Distinct (%)	0.4%
Missing	437162
Missing (%)	80.0%
Memory size	4.2 MiB

-66	105326
Bern	704
Basel SBB	322
Lausanne	296
Zürich HB	247
Other values (420)	2586

Overview
Categories

Unique

Unique	228 ?
Unique (%)	0.2%

Sample

1st row	-66
2nd row	-66
3rd row	-66
4th row	-66
5th row	-66

Common Values

Value	Count	Frequency (%)
-66	105326	19.3%
Bern	704	0.1%
Basel SBB	322	0.1%
Lausanne	296	0.1%
Zürich HB	247	< 0.1%
Luzern	209	< 0.1%
Olten	150	< 0.1%
Genève	132	< 0.1%
Liestal	90	< 0.1%
Biel/Bienne	75	< 0.1%
Other values (415)	1930	0.4%
(Missing)	437162	80.0%

BHF_sauberkeit
Categorical

HIGH CARDINALITY IMBALANCE MISSING

Distinct	502
Distinct (%)	0.5%
Missing	437162
Missing (%)	80.0%
Memory size	4.2 MiB

-66	106339
Zürich HB	264
Bern	242
Lausanne	192
Genève	105
Other values (497)	2339

Overview
Categories

Unique

Unique	266 ?
Unique (%)	0.2%

Sample

1st row	-66
2nd row	-66
3rd row	-66
4th row	-66
5th row	Rheinfelden

Common Values

Value	Count	Frequency (%)
-66	106339	19.5%
Zürich HB	264	< 0.1%
Bern	242	< 0.1%
Lausanne	192	< 0.1%
Genève	105	< 0.1%
Olten	99	< 0.1%
Biel/Bienne	97	< 0.1%
Basel SBB	93	< 0.1%
Milano Centrale	77	< 0.1%
Luzern	55	< 0.1%
Other values (492)	1918	0.4%
(Missing)	437162	80.0%

BHF_share
Categorical

IMBALANCE MISSING

Distinct	12
Distinct (%)	< 0.1%
Missing	437162
Missing (%)	80.0%
Memory size	4.2 MiB

-66	109467
Zürich HB	3
Neuchâtel	2
Dachsen	1
Fribourg/Freiburg	1
Other values (7)	7

Overview
Categories

Unique

Unique	9 ?
Unique (%)	< 0.1%

Sample

1st row	-66
2nd row	-66
3rd row	-66
4th row	-66
5th row	-66

Common Values

Value	Count	Frequency (%)
-66	109467	20.0%
Zürich HB	3	< 0.1%
Neuchâtel	2	< 0.1%
Dachsen	1	< 0.1%
Fribourg/Freiburg	1	< 0.1%
Bellinzona	1	< 0.1%
Bern	1	< 0.1%
Interlaken Ost	1	< 0.1%
Ardon	1	< 0.1%
Genève	1	< 0.1%
Other values (2)	2	< 0.1%
(Missing)	437162	80.0%

BHF_umsteig
Categorical

HIGH CARDINALITY IMBALANCE MISSING

Distinct	555
Distinct (%)	0.5%
Missing	437162
Missing (%)	80.0%
Memory size	4.2 MiB

-66	105289
Bern	534
Zürich HB	394
Basel SBB	227
Luzern	177
Other values (550)	2860

Overview
Categories

Unique

Unique	316 ?
Unique (%)	0.3%

Sample

1st row	-66
2nd row	-66
3rd row	-66
4th row	-66
5th row	-66

Common Values

Value	Count	Frequency (%)
-66	105289	19.3%
Bern	534	0.1%
Zürich HB	394	0.1%
Basel SBB	227	< 0.1%
Luzern	177	< 0.1%
Olten	162	< 0.1%
Lausanne	121	< 0.1%
Visp	73	< 0.1%
Genève	72	< 0.1%
Winterthur	71	< 0.1%
Other values (545)	2361	0.4%
(Missing)	437162	80.0%

BHF_velo
Categorical

HIGH CARDINALITY IMBALANCE MISSING

Distinct	159
Distinct (%)	0.1%
Missing	437162
Missing (%)	80.0%
Memory size	4.2 MiB

-66	108703
Zürich HB	79
Bern	73
Basel SBB	65
Luzern	54
Other values (154)	507

Overview
Categories

Unique

Unique	86 ?
Unique (%)	0.1%

Sample

1st row	-66
2nd row	-66
3rd row	-66
4th row	-66
5th row	-66

Common Values

Value	Count	Frequency (%)
-66	108703	19.9%
Zürich HB	79	< 0.1%
Bern	73	< 0.1%
Basel SBB	65	< 0.1%
Luzern	54	< 0.1%
Genève	30	< 0.1%
Aarau	23	< 0.1%
Lausanne	23	< 0.1%
Winterthur	22	< 0.1%
Thun	18	< 0.1%
Other values (149)	391	0.1%
(Missing)	437162	80.0%

BHF_velo_non
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	437164
Missing (%)	80.0%
Memory size	4.2 MiB

quoted	61436
-77	44193
not quoted	3850

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	quoted
2nd row	quoted
3rd row	-77
4th row	-77
5th row	quoted

Common Values

Value	Count	Frequency (%)
quoted	61436	11.2%
-77	44193	8.1%
not quoted	3850	0.7%
(Missing)	437164	80.0%

Common Values (Plot)

BHF_velo_start
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	437164
Missing (%)	80.0%
Memory size	4.2 MiB

-77	54931
not quoted	51716
quoted	2832

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	-77
2nd row	not quoted
3rd row	-77
4th row	-77
5th row	-77

Common Values

Value	Count	Frequency (%)
-77	54931	10.0%
not quoted	51716	9.5%
quoted	2832	0.5%
(Missing)	437164	80.0%

Common Values (Plot)

BHF_velo_ziel
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	437164
Missing (%)	80.0%
Memory size	4.2 MiB

-77	66557
not quoted	41799
quoted	1123

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	not quoted
2nd row	not quoted
3rd row	-77
4th row	-77
5th row	not quoted

Common Values

Value	Count	Frequency (%)
-77	66557	12.2%
not quoted	41799	7.6%
quoted	1123	0.2%
(Missing)	437164	80.0%

Common Values (Plot)

BHF_wc
Categorical

HIGH CARDINALITY IMBALANCE MISSING

Distinct	69
Distinct (%)	0.1%
Missing	437162
Missing (%)	80.0%
Memory size	4.2 MiB

-66	109338
Zürich HB	14
Luzern	9
Olten	7
Basel SBB	7
Other values (64)	106

Overview
Categories

Unique

Unique	45 ?
Unique (%)	< 0.1%

Sample

1st row	-66
2nd row	-66
3rd row	-66
4th row	-66
5th row	-66

Common Values

Value	Count	Frequency (%)
-66	109338	20.0%
Zürich HB	14	< 0.1%
Luzern	9	< 0.1%
Olten	7	< 0.1%
Basel SBB	7	< 0.1%
Genève	6	< 0.1%
St. Gallen	5	< 0.1%
Chur	5	< 0.1%
Bern	5	< 0.1%
Visp	4	< 0.1%
Other values (59)	81	< 0.1%
(Missing)	437162	80.0%

BHF_wegweisung
Categorical

HIGH CARDINALITY IMBALANCE MISSING

Distinct	441
Distinct (%)	0.4%
Missing	437162
Missing (%)	80.0%
Memory size	4.2 MiB

-66	106838
Zürich HB	323
Bern	194
Lausanne	160
Olten	96
Other values (436)	1870

Overview
Categories

Unique

Unique	244 ?
Unique (%)	0.2%

Sample

1st row	-66
2nd row	-66
3rd row	-66
4th row	-66
5th row	-66

Common Values

Value	Count	Frequency (%)
-66	106838	19.5%
Zürich HB	323	0.1%
Bern	194	< 0.1%
Lausanne	160	< 0.1%
Olten	96	< 0.1%
Genève	86	< 0.1%
Liestal	74	< 0.1%
Basel SBB	71	< 0.1%
Genève-Aéroport	50	< 0.1%
Luzern	49	< 0.1%
Other values (431)	1540	0.3%
(Missing)	437162	80.0%

createdAt
Categorical

Distinct	461329
Distinct (%)	84.4%
Missing	0
Missing (%)	0.0%
Memory size	4.2 MiB

2019-10-09 16:54:48.930	4
2019-10-09 16:32:37.180	4
2019-10-09 16:28:13.393	4
2019-10-09 16:53:07.930	4
2019-10-09 15:45:03.460	4
Other values (461324)	546623

Overview
Categories

Unique

Unique	395320 ?
Unique (%)	72.3%

Sample

1st row	2019-07-19 22:15:07.430
2nd row	2019-07-19 22:15:07.803
3rd row	2019-07-19 22:15:07.920
4th row	2019-07-19 22:15:08.033
5th row	2019-07-19 22:15:08.143

Common Values

Value	Count	Frequency (%)
2019-10-09 16:54:48.930	4	< 0.1%
2019-10-09 16:32:37.180	4	< 0.1%
2019-10-09 16:28:13.393	4	< 0.1%
2019-10-09 16:53:07.930	4	< 0.1%
2019-10-09 15:45:03.460	4	< 0.1%
2019-10-09 16:29:50.017	4	< 0.1%
2019-10-09 16:12:06.233	4	< 0.1%
2019-10-09 15:27:46.783	4	< 0.1%
2019-10-09 16:42:46.187	4	< 0.1%
2019-10-09 15:36:49.860	4	< 0.1%
Other values (461319)	546603	> 99.9%

date_of_first_mail
Categorical

HIGH CARDINALITY MISSING

Distinct	47624
Distinct (%)	26.6%
Missing	367358
Missing (%)	67.2%
Memory size	4.2 MiB

2021-06-28 18:04:16	23
2022-07-15 14:40:36	20
2022-06-22 17:20:09	20
2022-09-28 19:01:44	19
2022-11-02 19:30:22	19
Other values (47619)	179184

Overview
Categories

Unique

Unique	12190 ?
Unique (%)	6.8%

Sample

1st row	2020-11-11 16:30:22
2nd row	2020-11-11 16:30:23
3rd row	2020-11-11 16:30:23
4th row	2020-11-11 16:30:24
5th row	2020-11-11 16:30:24

Common Values

Value	Count	Frequency (%)
2021-06-28 18:04:16	23	< 0.1%
2022-07-15 14:40:36	20	< 0.1%
2022-06-22 17:20:09	20	< 0.1%
2022-09-28 19:01:44	19	< 0.1%
2022-11-02 19:30:22	19	< 0.1%
2021-09-29 17:40:57	18	< 0.1%
2022-08-29 13:11:23	18	< 0.1%
2022-08-17 14:50:15	18	< 0.1%
2022-08-15 09:31:01	18	< 0.1%
2022-08-17 15:00:18	18	< 0.1%
Other values (47614)	179094	32.8%
(Missing)	367358	67.2%

date_of_last_access
Categorical

HIGH CARDINALITY MISSING

Distinct	378420
Distinct (%)	99.3%
Missing	165697
Missing (%)	30.3%
Memory size	4.2 MiB

2021-09-21 08:44:30	3
2020-11-02 18:35:27	3
2019-04-15 17:39:57	3
2019-03-25 19:34:43	3
2021-09-15 19:02:21	3
Other values (378415)	380931

Overview
Categories

Unique

Unique	375915 ?
Unique (%)	98.7%

Sample

1st row	2018-07-04 19:10:49
2nd row	2018-07-04 07:31:05
3rd row	2018-07-04 14:38:25
4th row	2018-07-04 08:05:31
5th row	2018-07-04 08:41:28

Common Values

Value	Count	Frequency (%)
2021-09-21 08:44:30	3	< 0.1%
2020-11-02 18:35:27	3	< 0.1%
2019-04-15 17:39:57	3	< 0.1%
2019-03-25 19:34:43	3	< 0.1%
2021-09-15 19:02:21	3	< 0.1%
2022-10-31 14:54:20	3	< 0.1%
2020-06-09 15:42:29	3	< 0.1%
2022-07-19 12:42:14	3	< 0.1%
2019-11-13 17:37:08	3	< 0.1%
2022-08-08 12:08:13	3	< 0.1%
Other values (378410)	380916	69.7%
(Missing)	165697	30.3%

device_type
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	328380
Missing (%)	60.1%
Memory size	4.2 MiB

Desktop	151030
Smartphone	67233

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Desktop
2nd row	Desktop
3rd row	Desktop
4th row	Desktop
5th row	Desktop

Common Values

Value	Count	Frequency (%)
Desktop	151030	27.6%
Smartphone	67233	12.3%
(Missing)	328380	60.1%

Common Values (Plot)

dispcode
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	328380
Missing (%)	60.1%
Memory size	4.2 MiB

Beendet	166452
Ausgescreent	47237
Beendet nach Unterbrechung	4574

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Beendet
2nd row	Beendet
3rd row	Beendet
4th row	Beendet
5th row	Beendet

Common Values

Value	Count	Frequency (%)
Beendet	166452	30.4%
Ausgescreent	47237	8.6%
Beendet nach Unterbrechung	4574	0.8%
(Missing)	328380	60.1%

Common Values (Plot)

EKL_fehlende_infos_txt
Categorical

HIGH CARDINALITY IMBALANCE MISSING

Distinct	693
Distinct (%)	0.2%
Missing	219109
Missing (%)	40.1%
Memory size	4.2 MiB

-66	326711
-99	114
App	11
SBB App	4
Smartphone	3
Other values (688)	691

Overview
Categories

Unique

Unique	685 ?
Unique (%)	0.2%

Sample

1st row	-66
2nd row	-66
3rd row	-66
4th row	-66
5th row	-66

Common Values

Value	Count	Frequency (%)
-66	326711	59.8%
-99	114	< 0.1%
App	11	< 0.1%
SBB App	4	< 0.1%
Smartphone	3	< 0.1%
SMS	2	< 0.1%
mobile	2	< 0.1%
Durchsage im Zug	2	< 0.1%
konkret, wie ich alternativ weiterreisen kann, auf meinem Smartphone	1	< 0.1%
schnellster Weg nach Thun ab Wankdorf (zurück nach Bern?, warten?)	1	< 0.1%
Other values (683)	683	0.1%
(Missing)	219109	40.1%

EKL_info_nutzung
Categorical

IMBALANCE MISSING

Distinct	7
Distinct (%)	< 0.1%
Missing	218263
Missing (%)	39.9%
Memory size	4.2 MiB

-77	324728
ja, ich habe den vorgeschlagenen Reiseweg gewählt	2338
ja, ich bin später gereist	784
ja, ich habe einen anderen als den vorgeschlagenen Reiseweg gewählt	300
nein	159
Other values (2)	71

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	-77
2nd row	-77
3rd row	-77
4th row	-77
5th row	-77

Common Values

Value	Count	Frequency (%)
-77	324728	59.4%
ja, ich habe den vorgeschlagenen Reiseweg gewählt	2338	0.4%
ja, ich bin später gereist	784	0.1%
ja, ich habe einen anderen als den vorgeschlagenen Reiseweg gewählt	300	0.1%
nein	159	< 0.1%
ja, ich habe meine Reise abgebrochen / nicht angetreten	40	< 0.1%
weiss nicht	31	< 0.1%
(Missing)	218263	39.9%

Common Values (Plot)

EKL_info_vermisst
Categorical

IMBALANCE MISSING

Distinct	4
Distinct (%)	< 0.1%
Missing	218263
Missing (%)	39.9%
Memory size	4.2 MiB

-77	324257
Ja	2132
Nein	1733
Weiss nicht	258

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	-77
2nd row	-77
3rd row	-77
4th row	-77
5th row	-77

Common Values

Value	Count	Frequency (%)
-77	324257	59.3%
Ja	2132	0.4%
Nein	1733	0.3%
Weiss nicht	258	< 0.1%
(Missing)	218263	39.9%

Common Values (Plot)

EKL_info_zielerreichung
Categorical

IMBALANCE MISSING

Distinct	4
Distinct (%)	< 0.1%
Missing	218263
Missing (%)	39.9%
Memory size	4.2 MiB

-77	320123
Nein	4150
Ja	3723
Weiss nicht	384

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	-77
2nd row	-77
3rd row	-77
4th row	-77
5th row	-77

Common Values

Value	Count	Frequency (%)
-77	320123	58.6%
Nein	4150	0.8%
Ja	3723	0.7%
Weiss nicht	384	0.1%
(Missing)	218263	39.9%

Common Values (Plot)

EKL_reiseaenderung
Categorical

IMBALANCE MISSING

Distinct	4
Distinct (%)	< 0.1%
Missing	218263
Missing (%)	39.9%
Memory size	4.2 MiB

-77	302975
Nein	16899
Ja	8248
Weiss nicht	258

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	-77
2nd row	-77
3rd row	-77
4th row	-77
5th row	-77

Common Values

Value	Count	Frequency (%)
-77	302975	55.4%
Nein	16899	3.1%
Ja	8248	1.5%
Weiss nicht	258	< 0.1%
(Missing)	218263	39.9%

Common Values (Plot)

OES_allgemein
Categorical

Distinct	12
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	4.2 MiB

10	88998
8	87621
-77	79373
9	77460
5	70235
Other values (7)	142956

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	10
2nd row	9
3rd row	10
4th row	8
5th row	10

Common Values

Value	Count	Frequency (%)
10	88998	16.3%
8	87621	16.0%
-77	79373	14.5%
9	77460	14.2%
5	70235	12.8%
4	65293	11.9%
7	37476	6.9%
3	16630	3.0%
6	13062	2.4%
weiss nicht	5388	1.0%
Other values (2)	5107	0.9%

OES_zuf_personal_angemessen
Categorical

IMBALANCE MISSING

Distinct	13
Distinct (%)	< 0.1%
Missing	109481
Missing (%)	20.0%
Memory size	4.2 MiB

-77	359850
10	23266
99	19703
9	9974
8	8758
Other values (8)	15611

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	10
2nd row	-77
3rd row	-77
4th row	-77
5th row	-77

Common Values

Value	Count	Frequency (%)
-77	359850	65.8%
10	23266	4.3%
99	19703	3.6%
9	9974	1.8%
8	8758	1.6%
5	7489	1.4%
4	3001	0.5%
7	2880	0.5%
6	1167	0.2%
3	651	0.1%
Other values (3)	423	0.1%
(Missing)	109481	20.0%

OES_zuf_personal_aufmerksam
Categorical

IMBALANCE MISSING

Distinct	13
Distinct (%)	< 0.1%
Missing	109481
Missing (%)	20.0%
Memory size	4.2 MiB

-77	359850
weiss nicht	23792
10	12255
8	12037
9	8585
Other values (8)	20643

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	10
2nd row	-77
3rd row	-77
4th row	-77
5th row	-77

Common Values

Value	Count	Frequency (%)
-77	359850	65.8%
weiss nicht	23792	4.4%
10	12255	2.2%
8	12037	2.2%
9	8585	1.6%
5	5874	1.1%
7	5651	1.0%
4	4488	0.8%
6	2482	0.5%
3	1448	0.3%
Other values (3)	700	0.1%
(Missing)	109481	20.0%

OES_zuf_personal_effekt
Categorical

IMBALANCE MISSING

Distinct	13
Distinct (%)	< 0.1%
Missing	109481
Missing (%)	20.0%
Memory size	4.2 MiB

-77	359850
10	17564
8	11551
weiss nicht	10658
5	10620
Other values (8)	26919

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	10
2nd row	-77
3rd row	-77
4th row	-77
5th row	-77

Common Values

Value	Count	Frequency (%)
-77	359850	65.8%
10	17564	3.2%
8	11551	2.1%
weiss nicht	10658	1.9%
5	10620	1.9%
9	8510	1.6%
7	5997	1.1%
4	4652	0.9%
6	4318	0.8%
3	2652	0.5%
Other values (3)	790	0.1%
(Missing)	109481	20.0%

wime_gesamtzuf
Categorical

Distinct	13
Distinct (%)	< 0.1%
Missing	1
Missing (%)	< 0.1%
Memory size	4.2 MiB

10	109049
5	99882
9	83651
8	68393
4	61124
Other values (8)	124543

Overview
Categories

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	10
2nd row	8
3rd row	10
4th row	10
5th row	10

Common Values

Value	Count	Frequency (%)
10	109049	19.9%
5	99882	18.3%
9	83651	15.3%
8	68393	12.5%
4	61124	11.2%
-77	56613	10.4%
7	28971	5.3%
3	14849	2.7%
6	11899	2.2%
1	5483	1.0%
Other values (3)	6728	1.2%

Wime_Platz_BhfStart
Categorical

Distinct	7
Distinct (%)	< 0.1%
Missing	437164
Missing (%)	80.0%
Memory size	4.2 MiB

5	34642
-77	31181
4	29687
3	9206
2	2130
Other values (2)	2633

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	4
2nd row	5
3rd row	-77
4th row	4
5th row	4

Common Values

Value	Count	Frequency (%)
5	34642	6.3%
-77	31181	5.7%
4	29687	5.4%
3	9206	1.7%
2	2130	0.4%
weiss nicht	2066	0.4%
1	567	0.1%
(Missing)	437164	80.0%

Common Values (Plot)

Wime_Umsteig_BhfStart
Categorical

Distinct	7
Distinct (%)	< 0.1%
Missing	437164
Missing (%)	80.0%
Memory size	4.2 MiB

5	31947
-77	31181
4	27248
weiss nicht	8251
3	8062
Other values (2)	2790

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	4
2nd row	5
3rd row	-77
4th row	4
5th row	4

Common Values

Value	Count	Frequency (%)
5	31947	5.8%
-77	31181	5.7%
4	27248	5.0%
weiss nicht	8251	1.5%
3	8062	1.5%
2	1987	0.4%
1	803	0.1%
(Missing)	437164	80.0%

Common Values (Plot)

Wime_Sicherheit_BhfStart
Categorical

IMBALANCE MISSING

Distinct	7
Distinct (%)	< 0.1%
Missing	437164
Missing (%)	80.0%
Memory size	4.2 MiB

-77	102796
5	2469
4	2128
weiss nicht	1513
3	474
Other values (2)	99

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	-77
2nd row	-77
3rd row	-77
4th row	-77
5th row	-77

Common Values

Value	Count	Frequency (%)
-77	102796	18.8%
5	2469	0.5%
4	2128	0.4%
weiss nicht	1513	0.3%
3	474	0.1%
2	66	< 0.1%
1	33	< 0.1%
(Missing)	437164	80.0%

Common Values (Plot)

Wime_WC_BhfStart
Categorical

IMBALANCE MISSING

Distinct	7
Distinct (%)	< 0.1%
Missing	437164
Missing (%)	80.0%
Memory size	4.2 MiB

-77	108801
4	239
5	200
3	112
2	53
Other values (2)	74

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	-77
2nd row	-77
3rd row	-77
4th row	-77
5th row	-77

Common Values

Value	Count	Frequency (%)
-77	108801	19.9%
4	239	< 0.1%
5	200	< 0.1%
3	112	< 0.1%
2	53	< 0.1%
1	39	< 0.1%
weiss nicht	35	< 0.1%
(Missing)	437164	80.0%

Common Values (Plot)

Wime_Velo_BhfStart
Categorical

IMBALANCE MISSING

Distinct	7
Distinct (%)	< 0.1%
Missing	437164
Missing (%)	80.0%
Memory size	4.2 MiB

-77	106647
4	748
5	682
3	629
2	395
Other values (2)	378

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	-77
2nd row	-77
3rd row	-77
4th row	-77
5th row	-77

Common Values

Value	Count	Frequency (%)
-77	106647	19.5%
4	748	0.1%
5	682	0.1%
3	629	0.1%
2	395	0.1%
1	222	< 0.1%
weiss nicht	156	< 0.1%
(Missing)	437164	80.0%

Common Values (Plot)

Wime_Park_BhfStart
Categorical

IMBALANCE MISSING

Distinct	7
Distinct (%)	< 0.1%
Missing	437164
Missing (%)	80.0%
Memory size	4.2 MiB

-77	106343
5	1418
4	922
3	358
2	178
Other values (2)	260

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	-77
2nd row	-77
3rd row	-77
4th row	-77
5th row	-77

Common Values

Value	Count	Frequency (%)
-77	106343	19.5%
5	1418	0.3%
4	922	0.2%
3	358	0.1%
2	178	< 0.1%
weiss nicht	133	< 0.1%
1	127	< 0.1%
(Missing)	437164	80.0%

Common Values (Plot)

Wime_Share_BhfStart
Categorical

IMBALANCE MISSING

Distinct	7
Distinct (%)	< 0.1%
Missing	437164
Missing (%)	80.0%
Memory size	4.2 MiB

-77	109233
weiss nicht	85
5	71
4	52
3	22
Other values (2)	16

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	-77
2nd row	-77
3rd row	-77
4th row	-77
5th row	-77

Common Values

Value	Count	Frequency (%)
-77	109233	20.0%
weiss nicht	85	< 0.1%
5	71	< 0.1%
4	52	< 0.1%
3	22	< 0.1%
2	11	< 0.1%
1	5	< 0.1%
(Missing)	437164	80.0%

Common Values (Plot)

Wime_Platz_BhfZiel
Categorical

Distinct	7
Distinct (%)	< 0.1%
Missing	437164
Missing (%)	80.0%
Memory size	4.2 MiB

5	32815
-77	31181
4	29984
3	10087
weiss nicht	2534
Other values (2)	2878

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	4
2nd row	4
3rd row	-77
4th row	4
5th row	4

Common Values

Value	Count	Frequency (%)
5	32815	6.0%
-77	31181	5.7%
4	29984	5.5%
3	10087	1.8%
weiss nicht	2534	0.5%
2	2302	0.4%
1	576	0.1%
(Missing)	437164	80.0%

Common Values (Plot)

Wime_Umsteig_BhfZiel
Categorical

Distinct	7
Distinct (%)	< 0.1%
Missing	437164
Missing (%)	80.0%
Memory size	4.2 MiB

5	31610
-77	31181
4	26693
3	8614
weiss nicht	8028
Other values (2)	3353

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	4
2nd row	5
3rd row	-77
4th row	4
5th row	3

Common Values

Value	Count	Frequency (%)
5	31610	5.8%
-77	31181	5.7%
4	26693	4.9%
3	8614	1.6%
weiss nicht	8028	1.5%
2	2398	0.4%
1	955	0.2%
(Missing)	437164	80.0%

Common Values (Plot)

Wime_Sicherheit_BhfZiel
Categorical

IMBALANCE MISSING

Distinct	7
Distinct (%)	< 0.1%
Missing	437164
Missing (%)	80.0%
Memory size	4.2 MiB

-77	103955
5	2140
4	1815
weiss nicht	1056
3	414
Other values (2)	99

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	-77
2nd row	-77
3rd row	-77
4th row	-77
5th row	-77

Common Values

Value	Count	Frequency (%)
-77	103955	19.0%
5	2140	0.4%
4	1815	0.3%
weiss nicht	1056	0.2%
3	414	0.1%
2	67	< 0.1%
1	32	< 0.1%
(Missing)	437164	80.0%

Common Values (Plot)

Wime_WC_BhfZiel
Categorical

IMBALANCE MISSING

Distinct	7
Distinct (%)	< 0.1%
Missing	437164
Missing (%)	80.0%
Memory size	4.2 MiB

-77	108808
4	231
5	222
3	112
2	45
Other values (2)	61

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	-77
2nd row	-77
3rd row	-77
4th row	-77
5th row	-77

Common Values

Value	Count	Frequency (%)
-77	108808	19.9%
4	231	< 0.1%
5	222	< 0.1%
3	112	< 0.1%
2	45	< 0.1%
1	31	< 0.1%
weiss nicht	30	< 0.1%
(Missing)	437164	80.0%

Common Values (Plot)

Wime_Velo_BhfZiel
Categorical

IMBALANCE MISSING

Distinct	7
Distinct (%)	< 0.1%
Missing	437164
Missing (%)	80.0%
Memory size	4.2 MiB

-77	108356
5	292
4	281
3	217
2	158
Other values (2)	175

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	-77
2nd row	-77
3rd row	-77
4th row	-77
5th row	-77

Common Values

Value	Count	Frequency (%)
-77	108356	19.8%
5	292	0.1%
4	281	0.1%
3	217	< 0.1%
2	158	< 0.1%
weiss nicht	89	< 0.1%
1	86	< 0.1%
(Missing)	437164	80.0%

Common Values (Plot)

Wime_Park_BhfZiel
Categorical

IMBALANCE MISSING

Distinct	7
Distinct (%)	< 0.1%
Missing	437164
Missing (%)	80.0%
Memory size	4.2 MiB

-77	108272
5	561
4	342
3	136
weiss nicht	82
Other values (2)	86

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	-77
2nd row	-77
3rd row	-77
4th row	-77
5th row	-77

Common Values

Value	Count	Frequency (%)
-77	108272	19.8%
5	561	0.1%
4	342	0.1%
3	136	< 0.1%
weiss nicht	82	< 0.1%
2	48	< 0.1%
1	38	< 0.1%
(Missing)	437164	80.0%

Common Values (Plot)

Wime_Share_BhfZiel
Categorical

IMBALANCE MISSING

Distinct	7
Distinct (%)	< 0.1%
Missing	437164
Missing (%)	80.0%
Memory size	4.2 MiB

-77	109273
5	74
4	60
weiss nicht	40
3	23
Other values (2)	9

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	-77
2nd row	-77
3rd row	-77
4th row	-77
5th row	-77

Common Values

Value	Count	Frequency (%)
-77	109273	20.0%
5	74	< 0.1%
4	60	< 0.1%
weiss nicht	40	< 0.1%
3	23	< 0.1%
1	7	< 0.1%
2	2	< 0.1%
(Missing)	437164	80.0%

Common Values (Plot)

wime_sicherheitskraft
Categorical

IMBALANCE MISSING

Distinct	7
Distinct (%)	< 0.1%
Missing	437164
Missing (%)	80.0%
Memory size	4.2 MiB

-77	107257
5	1025
weiss nicht	563
4	421
3	154
Other values (2)	59

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	-77
2nd row	-77
3rd row	-77
4th row	-77
5th row	-77

Common Values

Value	Count	Frequency (%)
-77	107257	19.6%
5	1025	0.2%
weiss nicht	563	0.1%
4	421	0.1%
3	154	< 0.1%
1	36	< 0.1%
2	23	< 0.1%
(Missing)	437164	80.0%

Common Values (Plot)

fg_abfahrt
Categorical

HIGH CARDINALITY MISSING

Distinct	1400
Distinct (%)	0.3%
Missing	41207
Missing (%)	7.5%
Memory size	4.2 MiB

17:02:00	1664
17:04:00	1581
17:00:00	1478
16:02:00	1471
07:32:00	1470
Other values (1395)	497772

Overview
Categories

Unique

Unique	41 ?
Unique (%)	< 0.1%

Sample

1st row	09:52:00
2nd row	17:04:00
3rd row	16:42:00
4th row	13:06:00
5th row	17:43:00

Common Values

Value	Count	Frequency (%)
17:02:00	1664	0.3%
17:04:00	1581	0.3%
17:00:00	1478	0.3%
16:02:00	1471	0.3%
07:32:00	1470	0.3%
17:34:00	1405	0.3%
17:32:00	1383	0.3%
16:32:00	1376	0.3%
07:34:00	1325	0.2%
16:34:00	1286	0.2%
Other values (1390)	490997	89.8%
(Missing)	41207	7.5%

fg_ankunft
Categorical

HIGH CARDINALITY MISSING

Distinct	1416
Distinct (%)	0.3%
Missing	41209
Missing (%)	7.5%
Memory size	4.2 MiB

17:56:00	1570
18:28:00	1479
18:00:00	1331
17:58:00	1318
17:28:00	1303
Other values (1411)	498433

Overview
Categories

Unique

Unique	39 ?
Unique (%)	< 0.1%

Sample

1st row	10:39:00
2nd row	17:50:00
3rd row	18:45:00
4th row	13:57:00
5th row	17:55:00

Common Values

Value	Count	Frequency (%)
17:56:00	1570	0.3%
18:28:00	1479	0.3%
18:00:00	1331	0.2%
17:58:00	1318	0.2%
17:28:00	1303	0.2%
18:56:00	1281	0.2%
08:56:00	1248	0.2%
18:25:00	1227	0.2%
16:56:00	1203	0.2%
07:56:00	1200	0.2%
Other values (1406)	492274	90.1%
(Missing)	41209	7.5%

fg_startort
Categorical

Distinct	16108
Distinct (%)	2.9%
Missing	0
Missing (%)	0.0%
Memory size	4.2 MiB

Zürich HB	35050
Bern	23319
Basel SBB	19036
Zürich Flughafen	17180
Luzern	14214
Other values (16103)	437844

Overview
Categories

Unique

Unique	4411 ?
Unique (%)	0.8%

Sample

1st row	Urdorf, Neumatt
2nd row	Rigi Kulm
3rd row	Porrentruy
4th row	Bern
5th row	Diessenhofen

Common Values

Value	Count	Frequency (%)
Zürich HB	35050	6.4%
Bern	23319	4.3%
Basel SBB	19036	3.5%
Zürich Flughafen	17180	3.1%
Luzern	14214	2.6%
Genève	13350	2.4%
Lausanne	12260	2.2%
-66	9996	1.8%
Genève-Aéroport	7111	1.3%
Olten	6083	1.1%
Other values (16098)	389044	71.2%

fg_startort_uic
Categorical

Distinct	14385
Distinct (%)	2.6%
Missing	0
Missing (%)	0.0%
Memory size	4.2 MiB

-66	41182
8503000	33716
8507000	22527
8500010	18224
8503016	16635
Other values (14380)	414359

Overview
Categories

Unique

Unique	3763 ?
Unique (%)	0.7%

Sample

1st row	8590841
2nd row	8505069
3rd row	8500126
4th row	8507000
5th row	8503428

Common Values

Value	Count	Frequency (%)
-66	41182	7.5%
8503000	33716	6.2%
8507000	22527	4.1%
8500010	18224	3.3%
8503016	16635	3.0%
8505000	13671	2.5%
8501008	12627	2.3%
8501120	11727	2.1%
8501026	6872	1.3%
8500218	5824	1.1%
Other values (14375)	363638	66.5%

fg_teilstr
Categorical

Distinct	15
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	4.2 MiB

1	212431
2	119558
3	107398
-66	41182
5	28477
Other values (10)	37597

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	1
3rd row	2
4th row	2
5th row	1

Common Values

Value	Count	Frequency (%)
1	212431	38.9%
2	119558	21.9%
3	107398	19.6%
-66	41182	7.5%
5	28477	5.2%
4	24373	4.5%
7	7458	1.4%
6	2972	0.5%
9	1823	0.3%
8	443	0.1%
Other values (5)	528	0.1%

fg_via
Categorical

HIGH CARDINALITY IMBALANCE

Distinct	50375
Distinct (%)	9.2%
Missing	0
Missing (%)	0.0%
Memory size	4.2 MiB

-66	190786
-99	62833
<div>Zürich HB</div>	15487
Zürich HB	10078
<div>Bern</div>	6921
Other values (50370)	260538

Overview
Categories

Unique

Unique	33499 ?
Unique (%)	6.1%

Sample

1st row	<div>Schlieren, Bahnhof</div>
2nd row	-66
3rd row	<div>Biel/Bienne</div>
4th row	<div>Spiez</div>
5th row	-66

Common Values

Value	Count	Frequency (%)
-66	190786	34.9%
-99	62833	11.5%
<div>Zürich HB</div>	15487	2.8%
Zürich HB	10078	1.8%
<div>Bern</div>	6921	1.3%
<div>Olten</div>	5475	1.0%
Bern	4499	0.8%
Olten	3731	0.7%
<div>Luzern</div>	3332	0.6%
<div>Lausanne</div>	3019	0.6%
Other values (50365)	240482	44.0%

fg_vm
Categorical

Distinct	159831
Distinct (%)	29.2%
Missing	0
Missing (%)	0.0%
Memory size	4.2 MiB

undefined	194598
-66	41182
IR 90	2030
IC 5	1935
IC 1	1715
Other values (159826)	305183

Overview
Categories

Unique

Unique	132020 ?
Unique (%)	24.2%

Sample

1st row	undefined
2nd row	undefined
3rd row	undefined
4th row	undefined
5th row	undefined

Common Values

Value	Count	Frequency (%)
undefined	194598	35.6%
-66	41182	7.5%
IR 90	2030	0.4%
IC 5	1935	0.4%
IC 1	1715	0.3%
IR 15	1166	0.2%
IC 8	1147	0.2%
S 5	998	0.2%
S 1	967	0.2%
S 3	862	0.2%
Other values (159821)	300043	54.9%

fg_zielort
Categorical

Distinct	15909
Distinct (%)	2.9%
Missing	0
Missing (%)	0.0%
Memory size	4.2 MiB

Zürich HB	42108
Bern	26655
Basel SBB	18244
Luzern	16059
Zürich Flughafen	14668
Other values (15904)	428909

Overview
Categories

Unique

Unique	4651 ?
Unique (%)	0.9%

Sample

1st row	Winterthur
2nd row	Arth-Goldau RB
3rd row	Lausanne
4th row	Faulensee, Dorf
5th row	Stein am Rhein

Common Values

Value	Count	Frequency (%)
Zürich HB	42108	7.7%
Bern	26655	4.9%
Basel SBB	18244	3.3%
Luzern	16059	2.9%
Zürich Flughafen	14668	2.7%
Lausanne	13880	2.5%
Genève	12867	2.4%
-66	9994	1.8%
Winterthur	7177	1.3%
St. Gallen	7149	1.3%
Other values (15899)	377842	69.1%

fg_zielort_uic
Categorical

Distinct	14161
Distinct (%)	2.6%
Missing	0
Missing (%)	0.0%
Memory size	4.2 MiB

-66	41182
8503000	40379
8507000	25749
8500010	17376
8505000	15422
Other values (14156)	406535

Overview
Categories

Unique

Unique	3966 ?
Unique (%)	0.7%

Sample

1st row	8506000
2nd row	8505063
3rd row	8501120
4th row	8588606
5th row	8506139

Common Values

Value	Count	Frequency (%)
-66	41182	7.5%
8503000	40379	7.4%
8507000	25749	4.7%
8500010	17376	3.2%
8505000	15422	2.8%
8503016	14249	2.6%
8501120	13241	2.4%
8501008	12163	2.2%
8506302	6925	1.3%
8506000	6829	1.2%
Other values (14151)	353128	64.6%

ft_abfahrt
Categorical

HIGH CARDINALITY MISSING

Distinct	1394
Distinct (%)	0.3%
Missing	55368
Missing (%)	10.1%
Memory size	4.2 MiB

17:02:00	1963
07:32:00	1792
17:04:00	1771
17:34:00	1725
16:02:00	1683
Other values (1389)	482341

Overview
Categories

Unique

Unique	45 ?
Unique (%)	< 0.1%

Sample

1st row	10:04:00
2nd row	17:04:00
3rd row	17:45:00
4th row	13:06:00
5th row	17:43:00

Common Values

Value	Count	Frequency (%)
17:02:00	1963	0.4%
07:32:00	1792	0.3%
17:04:00	1771	0.3%
17:34:00	1725	0.3%
16:02:00	1683	0.3%
17:32:00	1651	0.3%
17:00:00	1632	0.3%
07:34:00	1624	0.3%
16:32:00	1612	0.3%
16:34:00	1597	0.3%
Other values (1384)	474225	86.8%
(Missing)	55368	10.1%

ft_ankunft
Categorical

HIGH CARDINALITY MISSING

Distinct	1407
Distinct (%)	0.3%
Missing	55368
Missing (%)	10.1%
Memory size	4.2 MiB

18:28:00	1971
17:56:00	1958
07:56:00	1839
17:28:00	1831
16:56:00	1700
Other values (1402)	481976

Overview
Categories

Unique

Unique	46 ?
Unique (%)	< 0.1%

Sample

1st row	10:39:00
2nd row	17:50:00
3rd row	18:45:00
4th row	13:34:00
5th row	17:55:00

Common Values

Value	Count	Frequency (%)
18:28:00	1971	0.4%
17:56:00	1958	0.4%
07:56:00	1839	0.3%
17:28:00	1831	0.3%
16:56:00	1700	0.3%
08:56:00	1674	0.3%
08:28:00	1661	0.3%
17:58:00	1648	0.3%
18:00:00	1640	0.3%
08:24:00	1599	0.3%
Other values (1397)	473754	86.7%
(Missing)	55368	10.1%

ft_haltestellen
Categorical

HIGH CARDINALITY MISSING

Distinct	25283
Distinct (%)	6.6%
Missing	165697
Missing (%)	30.3%
Memory size	4.2 MiB

-66	55343
Bern - Zürich HB	4018
Zürich HB - Bern	4016
Basel SBB - Zürich HB	3198
Zürich Flughafen - Zürich HB	2472
Other values (25278)	311899

Overview
Categories

Unique

Unique	9843 ?
Unique (%)	2.6%

Sample

1st row	Schlieren - Zürich Altstetten - Zürich Hardbrücke - Zürich HB - Zürich Stadelhofen - Stettbach - Winterthur
2nd row	Rigi Kulm - Rigi Staffel - Rigi Wölfertschen-First - Rigi Klösterli - Fruttli - Kräbel - Goldau A4 - Arth-Goldau RB
3rd row	Biel/Bienne - Neuchâtel - Yverdon-les-Bains - Lausanne
4th row	Bern - Thun - Spiez
5th row	Diessenhofen - Schlattingen - Etzwilen - Stein am Rhein

Common Values

Value	Count	Frequency (%)
-66	55343	10.1%
Bern - Zürich HB	4018	0.7%
Zürich HB - Bern	4016	0.7%
Basel SBB - Zürich HB	3198	0.6%
Zürich Flughafen - Zürich HB	2472	0.5%
Zürich HB - Basel SBB	2369	0.4%
Chur - Landquart - Sargans - Zürich HB	1881	0.3%
Landquart - Sargans - Zürich HB	1796	0.3%
Zürich HB - Sargans - Landquart - Chur	1575	0.3%
Olten - Bern	1426	0.3%
Other values (25273)	302852	55.4%
(Missing)	165697	30.3%

ft_startort
Categorical

Distinct	7705
Distinct (%)	1.4%
Missing	0
Missing (%)	0.0%
Memory size	4.2 MiB

Zürich HB	50787
Bern	30721
-66	24225
Basel SBB	21068
Zürich Flughafen	17921
Other values (7700)	401921

Overview
Categories

Unique

Unique	3376 ?
Unique (%)	0.6%

Sample

1st row	Schlieren, Bahnhof
2nd row	Rigi Kulm
3rd row	Biel/Bienne
4th row	Bern
5th row	Diessenhofen

Common Values

Value	Count	Frequency (%)
Zürich HB	50787	9.3%
Bern	30721	5.6%
-66	24225	4.4%
Basel SBB	21068	3.9%
Zürich Flughafen	17921	3.3%
Luzern	16870	3.1%
Lausanne	15326	2.8%
Genève	13835	2.5%
Olten	12240	2.2%
Winterthur	8995	1.6%
Other values (7695)	334655	61.2%

ft_startort_uic
Categorical

Distinct	2843
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	4.2 MiB

-66	55343
8503000	49463
8507000	29934
8500010	20261
8503016	17377
Other values (2838)	374265

Overview
Categories

Unique

Unique	337 ?
Unique (%)	0.1%

Sample

1st row	8590786
2nd row	8505069
3rd row	8504300
4th row	8507000
5th row	8503428

Common Values

Value	Count	Frequency (%)
-66	55343	10.1%
8503000	49463	9.0%
8507000	29934	5.5%
8500010	20261	3.7%
8503016	17377	3.2%
8505000	16330	3.0%
8501120	14796	2.7%
8501008	13115	2.4%
8500218	11984	2.2%
8506000	8668	1.6%
Other values (2833)	309372	56.6%

ft_tu
Categorical

HIGH CARDINALITY IMBALANCE MISSING

Distinct	60
Distinct (%)	< 0.1%
Missing	165697
Missing (%)	30.3%
Memory size	4.2 MiB

SBB	265327
-66	55343
BLS	14382
SOB	9384
THU	8552
Other values (55)	27958

Overview
Categories

Unique

Unique	7 ?
Unique (%)	< 0.1%

Sample

1st row	SBB
2nd row	RB
3rd row	SBB
4th row	SBB
5th row	THU

Common Values

Value	Count	Frequency (%)
SBB	265327	48.5%
-66	55343	10.1%
BLS	14382	2.6%
SOB	9384	1.7%
THU	8552	1.6%
RhB	6021	1.1%
ZB	4492	0.8%
MGB	2519	0.5%
RA	2306	0.4%
TPF	1485	0.3%
Other values (50)	11135	2.0%
(Missing)	165697	30.3%

ft_uic_haltestellen
Categorical

HIGH CARDINALITY MISSING

Distinct	33431
Distinct (%)	8.8%
Missing	165697
Missing (%)	30.3%
Memory size	4.2 MiB

-66	55343
8507000,8503000	2186
8503000,8507000	2099
8503000, 8507000	1917
8507000, 8503000	1832
Other values (33426)	317569

Overview
Categories

Unique

Unique	13801 ?
Unique (%)	3.6%

Sample

1st row	8503509,8503001,8503020,8503000,8503003,8503147,8506000
2nd row	8505069,8505068,8505067,8505066,8505065,8505064,8505062,8505063
3rd row	8504300,8504221,8504200,8501120
4th row	8507000,8507100,8507483
5th row	8503428,8503429,8506025,8506139

Common Values

Value	Count	Frequency (%)
-66	55343	10.1%
8507000,8503000	2186	0.4%
8503000,8507000	2099	0.4%
8503000, 8507000	1917	0.4%
8507000, 8503000	1832	0.3%
8503016,8503000	1784	0.3%
8500010,8503000	1699	0.3%
8500010, 8503000	1499	0.3%
8503000,8500010	1289	0.2%
8503000, 8500010	1080	0.2%
Other values (33421)	310218	56.7%
(Missing)	165697	30.3%

ft_vm
Categorical

Distinct	31234
Distinct (%)	5.7%
Missing	0
Missing (%)	0.0%
Memory size	4.2 MiB

-66	55343
IC 5	3706
IC 1	2279
IC 8	2212
IR 90	2035
Other values (31229)	481068

Overview
Categories

Unique

Unique	9446 ?
Unique (%)	1.7%

Sample

1st row	S 12
2nd row	R 170
3rd row	IC 5
4th row	IC 8
5th row	S 8

Common Values

Value	Count	Frequency (%)
-66	55343	10.1%
IC 5	3706	0.7%
IC 1	2279	0.4%
IC 8	2212	0.4%
IR 90	2035	0.4%
IR 70	1678	0.3%
IC 3	1329	0.2%
IR 15	1232	0.2%
IC 61	1225	0.2%
IR 36	958	0.2%
Other values (31224)	474646	86.8%

ft_vm_code
Categorical

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	4.2 MiB

3	317979
1	139117
-66	55343
2	34204

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	3
4th row	3
5th row	1

Common Values

Value	Count	Frequency (%)
3	317979	58.2%
1	139117	25.4%
-66	55343	10.1%
2	34204	6.3%

Common Values (Plot)

ft_vm_kurz
Categorical

Distinct	15
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	4.2 MiB

IC	144094
IR	139405
S	117677
-66	55343
RE	34201
Other values (10)	55923

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	S
2nd row	R
3rd row	IC
4th row	IC
5th row	S

Common Values

Value	Count	Frequency (%)
IC	144094	26.4%
IR	139405	25.5%
S	117677	21.5%
-66	55343	10.1%
RE	34201	6.3%
R	21131	3.9%
EC	14126	2.6%
ICN	12605	2.3%
ICE	6247	1.1%
TGV	1403	0.3%
Other values (5)	411	0.1%

ft_zielort
Categorical

Distinct	6649
Distinct (%)	1.2%
Missing	0
Missing (%)	0.0%
Memory size	4.2 MiB

Zürich HB	82500
Bern	42997
-66	24223
Luzern	22364
Lausanne	21643
Other values (6644)	352916

Overview
Categories

Unique

Unique	3266 ?
Unique (%)	0.6%

Sample

1st row	Winterthur
2nd row	Arth-Goldau RB
3rd row	Lausanne
4th row	Spiez
5th row	Stein am Rhein

Common Values

Value	Count	Frequency (%)
Zürich HB	82500	15.1%
Bern	42997	7.9%
-66	24223	4.4%
Luzern	22364	4.1%
Lausanne	21643	4.0%
Olten	19836	3.6%
Basel SBB	18265	3.3%
Genève	12394	2.3%
Zürich Flughafen	11726	2.1%
Winterthur	10469	1.9%
Other values (6639)	280226	51.3%

ft_zielort_uic
Categorical

Distinct	1836
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	4.2 MiB

8503000	80787
-66	55343
8507000	42100
8505000	21731
8501120	21005
Other values (1831)	325677

Overview
Categories

Unique

Unique	185 ?
Unique (%)	< 0.1%

Sample

1st row	8506000
2nd row	8505063
3rd row	8501120
4th row	8507483
5th row	8506139

Common Values

Value	Count	Frequency (%)
8503000	80787	14.8%
-66	55343	10.1%
8507000	42100	7.7%
8505000	21731	4.0%
8501120	21005	3.8%
8500218	19593	3.6%
8500010	17399	3.2%
8501008	11695	2.1%
8503016	11306	2.1%
8506000	10122	1.9%
Other values (1826)	255562	46.8%

ft_zug_nr
Categorical

Distinct	20127
Distinct (%)	3.7%
Missing	0
Missing (%)	0.0%
Memory size	4.2 MiB

	55343
5	4550
1	3065
8	2857
3	2461
Other values (20122)	478367

Overview
Categories

Unique

Unique	4657 ?
Unique (%)	0.9%

Sample

1st row	12
2nd row	170
3rd row	5
4th row	8
5th row	8

Common Values

Value	Count	Frequency (%)
	55343	10.1%
5	4550	0.8%
1	3065	0.6%
8	2857	0.5%
3	2461	0.5%
90	2048	0.4%
70	1951	0.4%
15	1799	0.3%
61	1250	0.2%
2	1249	0.2%
Other values (20117)	470070	86.0%

Kommentar
Categorical

HIGH CARDINALITY IMBALANCE

Distinct	146839
Distinct (%)	26.9%
Missing	0
Missing (%)	0.0%
Memory size	4.2 MiB

-66	286013
-99	109790
Nein	227
-	199
	187
Other values (146834)	150227

Overview
Categories

Unique

Unique	145886 ?
Unique (%)	26.7%

Sample

1st row	-66
2nd row	-66
3rd row	-66
4th row	-66
5th row	-66

Common Values

Value	Count	Frequency (%)
-66	286013	52.3%
-99	109790	20.1%
Nein	227	< 0.1%
-	199	< 0.1%
	187	< 0.1%
nein	105	< 0.1%
Keine	102	< 0.1%
.	81	< 0.1%
Non	79	< 0.1%
No	71	< 0.1%
Other values (146829)	149789	27.4%

OES_beeintraechtigung
Categorical

IMBALANCE MISSING

Distinct	4
Distinct (%)	< 0.1%
Missing	218263
Missing (%)	39.9%
Memory size	4.2 MiB

Nein	307229
Ja	11820
Weiss nicht	5324
-77	4007

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Nein
2nd row	Nein
3rd row	Nein
4th row	Nein
5th row	Nein

Common Values

Value	Count	Frequency (%)
Nein	307229	56.2%
Ja	11820	2.2%
Weiss nicht	5324	1.0%
-77	4007	0.7%
(Missing)	218263	39.9%

Common Values (Plot)

OES_grund_beeintraecht_1
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	4.2 MiB

-77	529096
not quoted	10206
quoted	7341

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	-77
2nd row	-77
3rd row	-77
4th row	-77
5th row	-77

Common Values

Value	Count	Frequency (%)
-77	529096	96.8%
not quoted	10206	1.9%
quoted	7341	1.3%

Common Values (Plot)

OES_grund_beeintraecht_2
Categorical

IMBALANCE MISSING

Distinct	3
Distinct (%)	< 0.1%
Missing	218263
Missing (%)	39.9%
Memory size	4.2 MiB

-77	317022
not quoted	10027
quoted	1331

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	-77
2nd row	-77
3rd row	-77
4th row	-77
5th row	-77

Common Values

Value	Count	Frequency (%)
-77	317022	58.0%
not quoted	10027	1.8%
quoted	1331	0.2%
(Missing)	218263	39.9%

Common Values (Plot)

OES_grund_beeintraecht_3
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	4.2 MiB

-77	529096
not quoted	13337
quoted	4210

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	-77
2nd row	-77
3rd row	-77
4th row	-77
5th row	-77

Common Values

Value	Count	Frequency (%)
-77	529096	96.8%
not quoted	13337	2.4%
quoted	4210	0.8%

Common Values (Plot)

OES_grund_beeintraecht_4
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	4.2 MiB

-77	529096
not quoted	12281
quoted	5266

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	-77
2nd row	-77
3rd row	-77
4th row	-77
5th row	-77

Common Values

Value	Count	Frequency (%)
-77	529096	96.8%
not quoted	12281	2.2%
quoted	5266	1.0%

Common Values (Plot)

OES_grund_beeintraecht_5
Categorical

IMBALANCE MISSING

Distinct	3
Distinct (%)	< 0.1%
Missing	328381
Missing (%)	60.1%
Memory size	4.2 MiB

-77	212073
not quouted	4892
quoted	1297

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	-77
2nd row	-77
3rd row	-77
4th row	-77
5th row	-77

Common Values

Value	Count	Frequency (%)
-77	212073	38.8%
not quouted	4892	0.9%
quoted	1297	0.2%
(Missing)	328381	60.1%

Common Values (Plot)

OES_grund_beeintraecht_6
Categorical

IMBALANCE MISSING

Distinct	3
Distinct (%)	< 0.1%
Missing	328381
Missing (%)	60.1%
Memory size	4.2 MiB

-77	212073
not quouted	5717
quoted	472

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	-77
2nd row	-77
3rd row	-77
4th row	-77
5th row	-77

Common Values

Value	Count	Frequency (%)
-77	212073	38.8%
not quouted	5717	1.0%
quoted	472	0.1%
(Missing)	328381	60.1%

Common Values (Plot)

OES_grund_beeintraecht_7
Categorical

IMBALANCE MISSING

Distinct	3
Distinct (%)	< 0.1%
Missing	437164
Missing (%)	80.0%
Memory size	4.2 MiB

-77	108949
not quoted	518
quoted	12

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	-77
2nd row	-77
3rd row	-77
4th row	-77
5th row	-77

Common Values

Value	Count	Frequency (%)
-77	108949	19.9%
not quoted	518	0.1%
quoted	12	< 0.1%
(Missing)	437164	80.0%

Common Values (Plot)

OES_grund_beeintraecht_7_txt
Categorical

IMBALANCE MISSING

Distinct	7
Distinct (%)	< 0.1%
Missing	437164
Missing (%)	80.0%
Memory size	4.2 MiB

-66	109473
Boh	1
Je pense qu'on est réfugiés en Suisse, on ne peut pas nous exprimer et les sécurité ne seront pas encore discuter avec nous...	1
Al equipaggio comunque chi e sul bordo del binario… Gente non informata	1
yv<df	1
Other values (2)	2

Overview
Categories

Unique

Unique	6 ?
Unique (%)	< 0.1%

Sample

1st row	-66
2nd row	-66
3rd row	-66
4th row	-66
5th row	-66

Common Values

Value	Count	Frequency (%)
-66	109473	20.0%
Boh	1	< 0.1%
Je pense qu'on est réfugiés en Suisse, on ne peut pas nous exprimer et les sécurité ne seront pas encore discuter avec nous...	1	< 0.1%
Al equipaggio comunque chi e sul bordo del binario… Gente non informata	1	< 0.1%
yv<df	1	< 0.1%
Siehe Kommentar bezüglich Fantrennung	1	< 0.1%
Il cane antidroga che controllava in treno mi ha disturbato molto mi ha sbavato addosso e violato la mia intimità !! Sono disgustata per questo!!!	1	< 0.1%
(Missing)	437164	80.0%

Common Values (Plot)

OES_grund_beeintraecht_other
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	4.2 MiB

-77	529096
not quoted	11373
quoted	6174

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	-77
2nd row	-77
3rd row	-77
4th row	-77
5th row	-77

Common Values

Value	Count	Frequency (%)
-77	529096	96.8%
not quoted	11373	2.1%
quoted	6174	1.1%

Common Values (Plot)

OES_grund_beeintraecht_other_txt
Categorical

HIGH CARDINALITY IMBALANCE

Distinct	3726
Distinct (%)	0.7%
Missing	2245
Missing (%)	0.4%
Memory size	4.2 MiB

-66	537121
-99	3381
Nichts	44
nichts	22
Rien	20
Other values (3721)	3810

Overview
Categories

Unique

Unique	3673 ?
Unique (%)	0.7%

Sample

1st row	-66
2nd row	-66
3rd row	-66
4th row	-66
5th row	-66

Common Values

Value	Count	Frequency (%)
-66	537121	98.3%
-99	3381	0.6%
Nichts	44	< 0.1%
nichts	22	< 0.1%
Rien	20	< 0.1%
rien	8	< 0.1%
Coronavirus	6	< 0.1%
Corona	6	< 0.1%
Ausländer	5	< 0.1%
Bettler	5	< 0.1%
Other values (3716)	3780	0.7%
(Missing)	2245	0.4%

OES_grund_personal_negativ_txt
Categorical

HIGH CARDINALITY IMBALANCE MISSING

Distinct	874
Distinct (%)	0.2%
Missing	109481
Missing (%)	20.0%
Memory size	4.2 MiB

-66	436176
-99	111
Pas nécessaire	2
...	2
ACAB	2
Other values (869)	869

Overview
Categories

Unique

Unique	869 ?
Unique (%)	0.2%

Sample

1st row	-66
2nd row	-66
3rd row	-66
4th row	-66
5th row	-66

Common Values

Value	Count	Frequency (%)
-66	436176	79.8%
-99	111	< 0.1%
Pas nécessaire	2	< 0.1%
...	2	< 0.1%
ACAB	2	< 0.1%
Ich finde es sind zu wenig, wenn mich einer angreift geht es bestimmt 30 Sekunden oder mehr bis sie bei mir sind. Wer weiss, vtl geht es um Leben oder Tod	1	< 0.1%
fühle mich beobachtet	1	< 0.1%
Par expérience si j'avais eu un problème ils ne l auraient certainement pas résolu mais m'auraient envoyé à un poste.	1	< 0.1%
Weil sie martialisch tun.	1	< 0.1%
je n'ai jamais pris le train avec des forces de sécurité dedans sans que je sois controlé, c'est vraiment descriminatoire, j'ai toujours la sensation de représenter le symbole des profils ciblés par les forces de sécurité. Et c'est vraiment insupportable	1	< 0.1%
Other values (864)	864	0.2%
(Missing)	109481	20.0%

OES_personal_bhf_start
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	4.2 MiB

not quoted	411122
-77	75717
quoted	59804

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	not quoted
2nd row	not quoted
3rd row	not quoted
4th row	not quoted
5th row	not quoted

Common Values

Value	Count	Frequency (%)
not quoted	411122	75.2%
-77	75717	13.9%
quoted	59804	10.9%

Common Values (Plot)

OES_personal_bhf_ziel
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	437164
Missing (%)	80.0%
Memory size	4.2 MiB

not quoted	73784
-77	31168
quoted	4527

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	not quoted
2nd row	not quoted
3rd row	-77
4th row	not quoted
5th row	not quoted

Common Values

Value	Count	Frequency (%)
not quoted	73784	13.5%
-77	31168	5.7%
quoted	4527	0.8%
(Missing)	437164	80.0%

Common Values (Plot)

OES_personal_keine
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	4.2 MiB

quoted	334188
not quoted	136738
-77	75717

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	not quoted
2nd row	quoted
3rd row	quoted
4th row	quoted
5th row	quoted

Common Values

Value	Count	Frequency (%)
quoted	334188	61.1%
not quoted	136738	25.0%
-77	75717	13.9%

Common Values (Plot)

OES_personal_na
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	4.2 MiB

not quoted	423842
-77	75717
quoted	47084

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	not quoted
2nd row	not quoted
3rd row	not quoted
4th row	not quoted
5th row	not quoted

Common Values

Value	Count	Frequency (%)
not quoted	423842	77.5%
-77	75717	13.9%
quoted	47084	8.6%

Common Values (Plot)

OES_personal_perron_start
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	4.2 MiB

not quoted	441831
-77	75717
quoted	29095

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	quoted
2nd row	not quoted
3rd row	not quoted
4th row	not quoted
5th row	not quoted

Common Values

Value	Count	Frequency (%)
not quoted	441831	80.8%
-77	75717	13.9%
quoted	29095	5.3%

Common Values (Plot)

OES_personal_perron_ziel
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	437164
Missing (%)	80.0%
Memory size	4.2 MiB

not quoted	76818
-77	31168
quoted	1493

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	not quoted
2nd row	not quoted
3rd row	-77
4th row	not quoted
5th row	not quoted

Common Values

Value	Count	Frequency (%)
not quoted	76818	14.1%
-77	31168	5.7%
quoted	1493	0.3%
(Missing)	437164	80.0%

Common Values (Plot)

OES_personal_wunsch
Categorical

Distinct	6
Distinct (%)	< 0.1%
Missing	437164
Missing (%)	80.0%
Memory size	4.2 MiB

4	52920
-77	31168
not quoted	20654
2	2363
3	1301

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	4
2nd row	4
3rd row	-77
4th row	4
5th row	4

Common Values

Value	Count	Frequency (%)
4	52920	9.7%
-77	31168	5.7%
not quoted	20654	3.8%
2	2363	0.4%
3	1301	0.2%
quoted	1073	0.2%
(Missing)	437164	80.0%

Common Values (Plot)

OES_personal_zug
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	4.2 MiB

not quoted	459033
-77	75717
quoted	11893

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	quoted
2nd row	not quoted
3rd row	not quoted
4th row	not quoted
5th row	not quoted

Common Values

Value	Count	Frequency (%)
not quoted	459033	84.0%
-77	75717	13.9%
quoted	11893	2.2%

Common Values (Plot)

Ortskundigkeit
Categorical

Distinct	7
Distinct (%)	< 0.1%
Missing	437164
Missing (%)	80.0%
Memory size	4.2 MiB

-77	31181
3-12mal	27564
nur dieses Mal	17131
1-2mal	15483
2-5mal pro Monat	9476
Other values (2)	8644

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2-5mal pro Monat
2nd row	(fast) täglich
3rd row	-77
4th row	3-12mal
5th row	mehrmals pro Woche

Common Values

Value	Count	Frequency (%)
-77	31181	5.7%
3-12mal	27564	5.0%
nur dieses Mal	17131	3.1%
1-2mal	15483	2.8%
2-5mal pro Monat	9476	1.7%
mehrmals pro Woche	5832	1.1%
(fast) täglich	2812	0.5%
(Missing)	437164	80.0%

Common Values (Plot)

participant_id
Categorical

HIGH CARDINALITY UNIQUE

Distinct	546643
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	4.2 MiB

1	1
410231	1
410245	1
410244	1
410243	1
Other values (546638)	546638

Overview
Categories

Unique

Unique	546643 ?
Unique (%)	100.0%

Sample

1st row	1
2nd row	2
3rd row	3
4th row	4
5th row	5

Common Values

Value	Count	Frequency (%)
1	1	< 0.1%
410231	1	< 0.1%
410245	1	< 0.1%
410244	1	< 0.1%
410243	1	< 0.1%
410242	1	< 0.1%
410241	1	< 0.1%
410240	1	< 0.1%
410239	1	< 0.1%
410238	1	< 0.1%
Other values (546633)	546633	> 99.9%

project
Categorical

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	4.2 MiB

-1	165697
110723	162683
212566	109481
184113	69799
174695	38983

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	110723
2nd row	110723
3rd row	110723
4th row	110723
5th row	110723

Common Values

Value	Count	Frequency (%)
-1	165697	30.3%
110723	162683	29.8%
212566	109481	20.0%
184113	69799	12.8%
174695	38983	7.1%

Common Values (Plot)

projectLfn
Categorical

Distinct	224271
Distinct (%)	41.0%
Missing	0
Missing (%)	0.0%
Memory size	4.2 MiB

881	5
32138	5
30965	5
30944	5
30888	5
Other values (224266)	546618

Overview
Categories

Unique

Unique	73932 ?
Unique (%)	13.5%

Sample

1st row	881
2nd row	491
3rd row	541
4th row	502
5th row	510

Common Values

Value	Count	Frequency (%)
881	5	< 0.1%
32138	5	< 0.1%
30965	5	< 0.1%
30944	5	< 0.1%
30888	5	< 0.1%
30872	5	< 0.1%
30989	5	< 0.1%
30814	5	< 0.1%
32367	5	< 0.1%
30765	5	< 0.1%
Other values (224261)	546593	> 99.9%

R_abo_datum
Categorical

IMBALANCE MISSING

Distinct	13
Distinct (%)	< 0.1%
Missing	367363
Missing (%)	67.2%
Memory size	4.2 MiB

-77	159740
1	5476
2	4268
3	2505
4	1700
Other values (8)	5591

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	-77
2nd row	-77
3rd row	-77
4th row	-77
5th row	-77

Common Values

Value	Count	Frequency (%)
-77	159740	29.2%
1	5476	1.0%
2	4268	0.8%
3	2505	0.5%
4	1700	0.3%
5	1407	0.3%
6	1039	0.2%
7	835	0.2%
8	621	0.1%
11	594	0.1%
Other values (3)	1095	0.2%
(Missing)	367363	67.2%

R_abo_nutzung
Categorical

IMBALANCE MISSING

Distinct	4
Distinct (%)	< 0.1%
Missing	367363
Missing (%)	67.2%
Memory size	4.2 MiB

-77	157205
Ja	19526
Nein	2429
Weiss nicht	120

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	-77
2nd row	-77
3rd row	-77
4th row	-77
5th row	-77

Common Values

Value	Count	Frequency (%)
-77	157205	28.8%
Ja	19526	3.6%
Nein	2429	0.4%
Weiss nicht	120	< 0.1%
(Missing)	367363	67.2%

Common Values (Plot)

R_abotk_klasse
Categorical

IMBALANCE MISSING

Distinct	4
Distinct (%)	< 0.1%
Missing	367363
Missing (%)	67.2%
Memory size	4.2 MiB

-77	160336
2. Klasse	15921
1. Klasse	2790
1. und 2. Klasse	233

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	-77
2nd row	-77
3rd row	-77
4th row	-77
5th row	-77

Common Values

Value	Count	Frequency (%)
-77	160336	29.3%
2. Klasse	15921	2.9%
1. Klasse	2790	0.5%
1. und 2. Klasse	233	< 0.1%
(Missing)	367363	67.2%

Common Values (Plot)

R_anschluss
Categorical

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	4.2 MiB

-77	276156
Ja	256676
Nein	13809
0	2

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	-77
2nd row	-77
3rd row	-77
4th row	Ja
5th row	-77

Common Values

Value	Count	Frequency (%)
-77	276156	50.5%
Ja	256676	47.0%
Nein	13809	2.5%
0	2	< 0.1%

Common Values (Plot)

R_anschluss_1
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	367363
Missing (%)	67.2%
Memory size	4.2 MiB

nicht genannt	124305
-77	51678
genannt	3297

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	-77
2nd row	nicht genannt
3rd row	-77
4th row	-77
5th row	-77

Common Values

Value	Count	Frequency (%)
nicht genannt	124305	22.7%
-77	51678	9.5%
genannt	3297	0.6%
(Missing)	367363	67.2%

Common Values (Plot)

R_anschluss_2
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	367363
Missing (%)	67.2%
Memory size	4.2 MiB

nicht genannt	125944
-77	51678
genannt	1658

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	-77
2nd row	nicht genannt
3rd row	-77
4th row	-77
5th row	-77

Common Values

Value	Count	Frequency (%)
nicht genannt	125944	23.0%
-77	51678	9.5%
genannt	1658	0.3%
(Missing)	367363	67.2%

Common Values (Plot)

R_anschluss_3
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	367363
Missing (%)	67.2%
Memory size	4.2 MiB

nicht genannt	125644
-77	51678
genannt	1958

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	-77
2nd row	nicht genannt
3rd row	-77
4th row	-77
5th row	-77

Common Values

Value	Count	Frequency (%)
nicht genannt	125644	23.0%
-77	51678	9.5%
genannt	1958	0.4%
(Missing)	367363	67.2%

Common Values (Plot)

R_fawkontrolle
Categorical

Distinct	7
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	4.2 MiB

Nein	249555
Ja	211217
-77	66776
Weiss nicht	18611
99	480
Other values (2)	4

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Ja
2nd row	Ja
3rd row	Nein
4th row	Nein
5th row	Nein

Common Values

Value	Count	Frequency (%)
Nein	249555	45.7%
Ja	211217	38.6%
-77	66776	12.2%
Weiss nicht	18611	3.4%
99	480	0.1%
0	2	< 0.1%
3	2	< 0.1%

Common Values (Plot)

R_gastro_catering
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	4.2 MiB

-77	481370
not quoted	61718
quoted	3555

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	-77
2nd row	-77
3rd row	-77
4th row	-77
5th row	-77

Common Values

Value	Count	Frequency (%)
-77	481370	88.1%
not quoted	61718	11.3%
quoted	3555	0.7%

Common Values (Plot)

R_gastro_na
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	4.2 MiB

not quoted	294530
-77	244424
quoted	7689

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	-77
2nd row	-77
3rd row	not quoted
4th row	not quoted
5th row	-77

Common Values

Value	Count	Frequency (%)
not quoted	294530	53.9%
-77	244424	44.7%
quoted	7689	1.4%

Common Values (Plot)

R_gastro_nonuse
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	4.2 MiB

quoted	265138
-77	244424
not quoted	37081

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	-77
2nd row	-77
3rd row	quoted
4th row	quoted
5th row	-77

Common Values

Value	Count	Frequency (%)
quoted	265138	48.5%
-77	244424	44.7%
not quoted	37081	6.8%

Common Values (Plot)

R_gastro_sw_bistro
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	4.2 MiB

not quoted	290613
-77	244424
quoted	11606

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	-77
2nd row	-77
3rd row	not quoted
4th row	not quoted
5th row	-77

Common Values

Value	Count	Frequency (%)
not quoted	290613	53.2%
-77	244424	44.7%
quoted	11606	2.1%

Common Values (Plot)

R_gastro_takeaway
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	4.2 MiB

not quoted	287663
-77	244424
quoted	14556

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	-77
2nd row	-77
3rd row	not quoted
4th row	not quoted
5th row	-77

Common Values

Value	Count	Frequency (%)
not quoted	287663	52.6%
-77	244424	44.7%
quoted	14556	2.7%

Common Values (Plot)

R_grund_nonuse_1
Categorical

IMBALANCE MISSING

Distinct	3
Distinct (%)	< 0.1%
Missing	328381
Missing (%)	60.1%
Memory size	4.2 MiB

-77	213354
not quouted	4469
quoted	439

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	-77
2nd row	-77
3rd row	-77
4th row	-77
5th row	-77

Common Values

Value	Count	Frequency (%)
-77	213354	39.0%
not quouted	4469	0.8%
quoted	439	0.1%
(Missing)	328381	60.1%

Common Values (Plot)

R_grund_nonuse_2
Categorical

IMBALANCE MISSING

Distinct	3
Distinct (%)	< 0.1%
Missing	328381
Missing (%)	60.1%
Memory size	4.2 MiB

-77	213354
not quouted	4738
quoted	170

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	-77
2nd row	-77
3rd row	-77
4th row	-77
5th row	-77

Common Values

Value	Count	Frequency (%)
-77	213354	39.0%
not quouted	4738	0.9%
quoted	170	< 0.1%
(Missing)	328381	60.1%

Common Values (Plot)

R_grund_nonuse_3
Categorical

IMBALANCE MISSING

Distinct	3
Distinct (%)	< 0.1%
Missing	328381
Missing (%)	60.1%
Memory size	4.2 MiB

-77	213354
not quouted	4711
quoted	197

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	-77
2nd row	-77
3rd row	-77
4th row	-77
5th row	-77

Common Values

Value	Count	Frequency (%)
-77	213354	39.0%
not quouted	4711	0.9%
quoted	197	< 0.1%
(Missing)	328381	60.1%

Common Values (Plot)

R_grund_nonuse_4
Categorical

IMBALANCE MISSING

Distinct	3
Distinct (%)	< 0.1%
Missing	328381
Missing (%)	60.1%
Memory size	4.2 MiB

-77	213354
not quouted	4165
quoted	743

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	-77
2nd row	-77
3rd row	-77
4th row	-77
5th row	-77

Common Values

Value	Count	Frequency (%)
-77	213354	39.0%
not quouted	4165	0.8%
quoted	743	0.1%
(Missing)	328381	60.1%

Common Values (Plot)

R_grund_nonuse_5
Categorical

IMBALANCE MISSING

Distinct	3
Distinct (%)	< 0.1%
Missing	328381
Missing (%)	60.1%
Memory size	4.2 MiB

-77	213354
not quouted	2737
quoted	2171

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	-77
2nd row	-77
3rd row	-77
4th row	-77
5th row	-77

Common Values

Value	Count	Frequency (%)
-77	213354	39.0%
not quouted	2737	0.5%
quoted	2171	0.4%
(Missing)	328381	60.1%

Common Values (Plot)

R_grund_nonuse_5txt
Categorical

HIGH CARDINALITY IMBALANCE MISSING

Distinct	2080
Distinct (%)	1.0%
Missing	328381
Missing (%)	60.1%
Memory size	4.2 MiB

-66	216092
Krankheit	13
Zugausfall	12
Le train a été supprimé	6
Easy ride	5
Other values (2075)	2134

Overview
Categories

Unique

Unique	2038 ?
Unique (%)	0.9%

Sample

1st row	-66
2nd row	-66
3rd row	-66
4th row	-66
5th row	-66

Common Values

Value	Count	Frequency (%)
-66	216092	39.5%
Krankheit	13	< 0.1%
Zugausfall	12	< 0.1%
Le train a été supprimé	6	< 0.1%
Easy ride	5	< 0.1%
Der Zug ist ausgefallen	5	< 0.1%
Klassenwechsel	4	< 0.1%
Zug ist ausgefallen	4	< 0.1%
Train supprimé	4	< 0.1%
Le train a été annulé	4	< 0.1%
Other values (2070)	2113	0.4%
(Missing)	328381	60.1%

R_grund_nonuse_6
Categorical

IMBALANCE MISSING

Distinct	3
Distinct (%)	< 0.1%
Missing	328381
Missing (%)	60.1%
Memory size	4.2 MiB

-77	213354
not quouted	3448
quoted	1460

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	-77
2nd row	-77
3rd row	-77
4th row	-77
5th row	-77

Common Values

Value	Count	Frequency (%)
-77	213354	39.0%
not quouted	3448	0.6%
quoted	1460	0.3%
(Missing)	328381	60.1%

Common Values (Plot)

R_kb_wunsch
Categorical

Distinct	5
Distinct (%)	< 0.1%
Missing	367363
Missing (%)	67.2%
Memory size	4.2 MiB

0	63103
Nein, ich habe die Kundenbegleiterin/ den Kundenbegleiter nicht vermisst	54912
-77	51676
Nein, aber ich hätte mir die Präsenz einer Kundenbegleiterin oder eines Kundenbegleiters gewünscht	7568
Ja, ich hätte gerne mit einer Kundenbegleiterin oder einem Kundenbegleiter gesprochen	2021

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	-77
2nd row	Nein, ich habe die Kundenbegleiterin/ den Kundenbegleiter nicht vermisst
3rd row	-77
4th row	-77
5th row	-77

Common Values

Value	Count	Frequency (%)
0	63103	11.5%
Nein, ich habe die Kundenbegleiterin/ den Kundenbegleiter nicht vermisst	54912	10.0%
-77	51676	9.5%
Nein, aber ich hätte mir die Präsenz einer Kundenbegleiterin oder eines Kundenbegleiters gewünscht	7568	1.4%
Ja, ich hätte gerne mit einer Kundenbegleiterin oder einem Kundenbegleiter gesprochen	2021	0.4%
(Missing)	367363	67.2%

Common Values (Plot)

R_nutzung_einfach
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	328380
Missing (%)	60.1%
Memory size	4.2 MiB

Ja	173981
-77	39526
Nein	4756

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Ja
2nd row	Ja
3rd row	Ja
4th row	Ja
5th row	Ja

Common Values

Value	Count	Frequency (%)
Ja	173981	31.8%
-77	39526	7.2%
Nein	4756	0.9%
(Missing)	328380	60.1%

Common Values (Plot)

R_nutzung_retour
Categorical

IMBALANCE MISSING

Distinct	5
Distinct (%)	< 0.1%
Missing	328380
Missing (%)	60.1%
Memory size	4.2 MiB

-77	206915
Ja, ich habe das Billett für die Hin- und Rückfahrt genutzt	11023
Nein, ich habe das Billett nur für die Hinfahrt genutzt	172
Nein, ich habe das Billett weder für die Hin- noch für die Rückfahrt genutzt	136
Nein, ich habe das Billett nur für die Rückfahrt genutzt	17

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	-77
2nd row	-77
3rd row	-77
4th row	-77
5th row	-77

Common Values

Value	Count	Frequency (%)
-77	206915	37.9%
Ja, ich habe das Billett für die Hin- und Rückfahrt genutzt	11023	2.0%
Nein, ich habe das Billett nur für die Hinfahrt genutzt	172	< 0.1%
Nein, ich habe das Billett weder für die Hin- noch für die Rückfahrt genutzt	136	< 0.1%
Nein, ich habe das Billett nur für die Rückfahrt genutzt	17	< 0.1%
(Missing)	328380	60.1%

Common Values (Plot)

R_nutzung_tk
Categorical

IMBALANCE MISSING

Distinct	3
Distinct (%)	< 0.1%
Missing	367363
Missing (%)	67.2%
Memory size	4.2 MiB

-77	173177
Ja	5858
Nein	245

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	-77
2nd row	-77
3rd row	-77
4th row	-77
5th row	-77

Common Values

Value	Count	Frequency (%)
-77	173177	31.7%
Ja	5858	1.1%
Nein	245	< 0.1%
(Missing)	367363	67.2%

Common Values (Plot)

R_Park
Categorical

HIGH CARDINALITY IMBALANCE MISSING

Distinct	310
Distinct (%)	0.3%
Missing	437164
Missing (%)	80.0%
Memory size	4.2 MiB

-66	109163
Zu teuer	4
Trop cher	3
Zu wenig Parkplätze	2
zu wenig Parkplätze	2
Other values (305)	305

Overview
Categories

Unique

Unique	305 ?
Unique (%)	0.3%

Sample

1st row	-66
2nd row	-66
3rd row	-66
4th row	-66
5th row	-66

Common Values

Value	Count	Frequency (%)
-66	109163	20.0%
Zu teuer	4	< 0.1%
Trop cher	3	< 0.1%
Zu wenig Parkplätze	2	< 0.1%
zu wenig Parkplätze	2	< 0.1%
Manque de places et prix trop élevés	1	< 0.1%
Durch den Umbau des gesamten Bahnhofs in Liestal ist der Weg vom Parkplatz zum Auto viel zu lang! Ich hoffe sehr, dass sich die Situation nach Vollendung des Neubaus bessert; Liestal ist ein Bahnhof, der von vielen Menschen mit dem Auto angefahren wird. Es ist wünschenswert, wenn es ein grosses Parkhaus in Bahnhofs-Nähe geben würde.	1	< 0.1%
Trop peu de places au P+R	1	< 0.1%
Die Kurzparkplätze Richtung Stadtzentrum wurden reduziert. Vielleicht wurden sie auch nur auf Grund der Baustelle vorübergehend entfernt. Dann wäre der Mangel schnell wieder behoben.	1	< 0.1%
Park und Ride war nicht verfügbar. Mussten im UNO Gebäude Parken 16:00-24:00 = CHF 45. Was absoluter Wucher ist.	1	< 0.1%
Other values (300)	300	0.1%
(Missing)	437164	80.0%

R_platz_andere
Categorical

IMBALANCE MISSING

Distinct	3
Distinct (%)	< 0.1%
Missing	437164
Missing (%)	80.0%
Memory size	4.2 MiB

-77	105326
not quoted	3423
quoted	730

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	-77
2nd row	-77
3rd row	-77
4th row	-77
5th row	-77

Common Values

Value	Count	Frequency (%)
-77	105326	19.3%
not quoted	3423	0.6%
quoted	730	0.1%
(Missing)	437164	80.0%

Common Values (Plot)

R_platz_andere_txt
Categorical

HIGH CARDINALITY IMBALANCE MISSING

Distinct	680
Distinct (%)	0.6%
Missing	437164
Missing (%)	80.0%
Memory size	4.2 MiB

-66	108749
Baustelle	20
Travaux	11
Passerelle	5
Lift	4
Other values (675)	690

Overview
Categories

Unique

Unique	663 ?
Unique (%)	0.6%

Sample

1st row	-66
2nd row	-66
3rd row	-66
4th row	-66
5th row	-66

Common Values

Value	Count	Frequency (%)
-66	108749	19.9%
Baustelle	20	< 0.1%
Travaux	11	< 0.1%
Passerelle	5	< 0.1%
Lift	4	< 0.1%
Umbau	4	< 0.1%
Manque de bancs	3	< 0.1%
Chantier	2	< 0.1%
Treppen	2	< 0.1%
Überall zufrieden	2	< 0.1%
Other values (670)	677	0.1%
(Missing)	437164	80.0%

R_platz_gebauede
Categorical

IMBALANCE MISSING

Distinct	3
Distinct (%)	< 0.1%
Missing	437164
Missing (%)	80.0%
Memory size	4.2 MiB

-77	105326
not quoted	3457
quoted	696

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	-77
2nd row	-77
3rd row	-77
4th row	-77
5th row	-77

Common Values

Value	Count	Frequency (%)
-77	105326	19.3%
not quoted	3457	0.6%
quoted	696	0.1%
(Missing)	437164	80.0%

Common Values (Plot)

R_platz_perron_eng
Categorical

IMBALANCE MISSING

Distinct	3
Distinct (%)	< 0.1%
Missing	437164
Missing (%)	80.0%
Memory size	4.2 MiB

-77	105326
not quoted	2525
quoted	1628

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	-77
2nd row	-77
3rd row	-77
4th row	-77
5th row	-77

Common Values

Value	Count	Frequency (%)
-77	105326	19.3%
not quoted	2525	0.5%
quoted	1628	0.3%
(Missing)	437164	80.0%

Common Values (Plot)

R_platz_perron_leute
Categorical

IMBALANCE MISSING

Distinct	3
Distinct (%)	< 0.1%
Missing	437164
Missing (%)	80.0%
Memory size	4.2 MiB

-77	105326
quoted	2393
not quoted	1760

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	-77
2nd row	-77
3rd row	-77
4th row	-77
5th row	-77

Common Values

Value	Count	Frequency (%)
-77	105326	19.3%
quoted	2393	0.4%
not quoted	1760	0.3%
(Missing)	437164	80.0%

Common Values (Plot)

R_platz_unterf_eng
Categorical

IMBALANCE MISSING

Distinct	3
Distinct (%)	< 0.1%
Missing	437164
Missing (%)	80.0%
Memory size	4.2 MiB

-77	105326
not quoted	3105
quoted	1048

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	-77
2nd row	-77
3rd row	-77
4th row	-77
5th row	-77

Common Values

Value	Count	Frequency (%)
-77	105326	19.3%
not quoted	3105	0.6%
quoted	1048	0.2%
(Missing)	437164	80.0%

Common Values (Plot)

R_platz_unterf_leute
Categorical

IMBALANCE MISSING

Distinct	3
Distinct (%)	< 0.1%
Missing	437164
Missing (%)	80.0%
Memory size	4.2 MiB

-77	105326
not quoted	2210
quoted	1943

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	-77
2nd row	-77
3rd row	-77
4th row	-77
5th row	-77

Common Values

Value	Count	Frequency (%)
-77	105326	19.3%
not quoted	2210	0.4%
quoted	1943	0.4%
(Missing)	437164	80.0%

Common Values (Plot)

R_platz_vorbhf
Categorical

IMBALANCE MISSING

Distinct	3
Distinct (%)	< 0.1%
Missing	437164
Missing (%)	80.0%
Memory size	4.2 MiB

-77	105326
not quoted	3483
quoted	670

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	-77
2nd row	-77
3rd row	-77
4th row	-77
5th row	-77

Common Values

Value	Count	Frequency (%)
-77	105326	19.3%
not quoted	3483	0.6%
quoted	670	0.1%
(Missing)	437164	80.0%

Common Values (Plot)

R_platz_warte
Categorical

IMBALANCE MISSING

Distinct	3
Distinct (%)	< 0.1%
Missing	437164
Missing (%)	80.0%
Memory size	4.2 MiB

-77	105326
not quoted	3681
quoted	472

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	-77
2nd row	-77
3rd row	-77
4th row	-77
5th row	-77

Common Values

Value	Count	Frequency (%)
-77	105326	19.3%
not quoted	3681	0.7%
quoted	472	0.1%
(Missing)	437164	80.0%

Common Values (Plot)

R_sauber_anderes
Categorical

IMBALANCE MISSING

Distinct	3
Distinct (%)	< 0.1%
Missing	437164
Missing (%)	80.0%
Memory size	4.2 MiB

-77	106341
not quoted	2823
quoted	315

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	-77
2nd row	-77
3rd row	-77
4th row	-77
5th row	not quoted

Common Values

Value	Count	Frequency (%)
-77	106341	19.5%
not quoted	2823	0.5%
quoted	315	0.1%
(Missing)	437164	80.0%

Common Values (Plot)

R_sauber_anderes_txt
Categorical

HIGH CARDINALITY IMBALANCE MISSING

Distinct	302
Distinct (%)	0.3%
Missing	437164
Missing (%)	80.0%
Memory size	4.2 MiB

-66	109164
Lift	5
Baustelle	4
Treppen	4
Nirgends	2
Other values (297)	300

Overview
Categories

Unique

Unique	294 ?
Unique (%)	0.3%

Sample

1st row	-66
2nd row	-66
3rd row	-66
4th row	-66
5th row	-66

Common Values

Value	Count	Frequency (%)
-66	109164	20.0%
Lift	5	< 0.1%
Baustelle	4	< 0.1%
Treppen	4	< 0.1%
Nirgends	2	< 0.1%
Aucun	2	< 0.1%
Ovunque	2	< 0.1%
Zigarettenstummel überall	2	< 0.1%
La gare est en travaux les ouvriers doivent faire leur travail c’est temporaire	1	< 0.1%
Beim Abgang	1	< 0.1%
Other values (292)	292	0.1%
(Missing)	437164	80.0%

R_sauber_gebauede
Categorical

IMBALANCE MISSING

Distinct	3
Distinct (%)	< 0.1%
Missing	437164
Missing (%)	80.0%
Memory size	4.2 MiB

-77	106341
not quoted	2296
quoted	842

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	-77
2nd row	-77
3rd row	-77
4th row	-77
5th row	not quoted

Common Values

Value	Count	Frequency (%)
-77	106341	19.5%
not quoted	2296	0.4%
quoted	842	0.2%
(Missing)	437164	80.0%

Common Values (Plot)

R_sauber_perron
Categorical

IMBALANCE MISSING

Distinct	3
Distinct (%)	< 0.1%
Missing	437164
Missing (%)	80.0%
Memory size	4.2 MiB

-77	106341
quoted	1699
not quoted	1439

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	-77
2nd row	-77
3rd row	-77
4th row	-77
5th row	quoted

Common Values

Value	Count	Frequency (%)
-77	106341	19.5%
quoted	1699	0.3%
not quoted	1439	0.3%
(Missing)	437164	80.0%

Common Values (Plot)

R_sauber_unterfuehrung
Categorical

IMBALANCE MISSING

Distinct	3
Distinct (%)	< 0.1%
Missing	437164
Missing (%)	80.0%
Memory size	4.2 MiB

-77	106341
quoted	1848
not quoted	1290

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	-77
2nd row	-77
3rd row	-77
4th row	-77
5th row	not quoted

Common Values

Value	Count	Frequency (%)
-77	106341	19.5%
quoted	1848	0.3%
not quoted	1290	0.2%
(Missing)	437164	80.0%

Common Values (Plot)

R_sauber_vorbhf
Categorical

IMBALANCE MISSING

Distinct	3
Distinct (%)	< 0.1%
Missing	437164
Missing (%)	80.0%
Memory size	4.2 MiB

-77	106341
not quoted	1981
quoted	1157

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	-77
2nd row	-77
3rd row	-77
4th row	-77
5th row	not quoted

Common Values

Value	Count	Frequency (%)
-77	106341	19.5%
not quoted	1981	0.4%
quoted	1157	0.2%
(Missing)	437164	80.0%

Common Values (Plot)

R_sauber_warte
Categorical

IMBALANCE MISSING

Distinct	3
Distinct (%)	< 0.1%
Missing	437164
Missing (%)	80.0%
Memory size	4.2 MiB

-77	106341
not quoted	2307
quoted	831

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	-77
2nd row	-77
3rd row	-77
4th row	-77
5th row	quoted

Common Values

Value	Count	Frequency (%)
-77	106341	19.5%
not quoted	2307	0.4%
quoted	831	0.2%
(Missing)	437164	80.0%

Common Values (Plot)

R_sauber_WC
Categorical

IMBALANCE MISSING

Distinct	3
Distinct (%)	< 0.1%
Missing	437164
Missing (%)	80.0%
Memory size	4.2 MiB

-77	106341
not quoted	2573
quoted	565

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	-77
2nd row	-77
3rd row	-77
4th row	-77
5th row	not quoted

Common Values

Value	Count	Frequency (%)
-77	106341	19.5%
not quoted	2573	0.5%
quoted	565	0.1%
(Missing)	437164	80.0%

Common Values (Plot)

R_Sharing
Categorical

IMBALANCE MISSING

Distinct	13
Distinct (%)	< 0.1%
Missing	437164
Missing (%)	80.0%
Memory size	4.2 MiB

-66	109467
Mobility is not available there	1
Il n'y avait plus qu'un seul vélo électrique à sa place, et étant donné que l'unique et dernier n'était pas à sa place initiale, la carte indiquait le vélo tel ????? Ce qui signifie que l'application n'arrivait pas à le situer juste. N'ayant plus de bus, les vélo devraient être plus en quantité et surtout électrique pour rentrer rapidement eb sécurité le soir.	1
Kein Mobility zur Verfügung. Über Auffahrt jedoch verständlich.	1
Üblicherweise gibt es vormittags zu wenige Publibikes in der Velostation Schanzenstrasse	1
Other values (8)	8

Overview
Categories

Unique

Unique	12 ?
Unique (%)	< 0.1%

Sample

1st row	-66
2nd row	-66
3rd row	-66
4th row	-66
5th row	-66

Common Values

Value	Count	Frequency (%)
-66	109467	20.0%
Mobility is not available there	1	< 0.1%
Il n'y avait plus qu'un seul vélo électrique à sa place, et étant donné que l'unique et dernier n'était pas à sa place initiale, la carte indiquait le vélo tel ????? Ce qui signifie que l'application n'arrivait pas à le situer juste. N'ayant plus de bus, les vélo devraient être plus en quantité et surtout électrique pour rentrer rapidement eb sécurité le soir.	1	< 0.1%
Kein Mobility zur Verfügung. Über Auffahrt jedoch verständlich.	1	< 0.1%
Üblicherweise gibt es vormittags zu wenige Publibikes in der Velostation Schanzenstrasse	1	< 0.1%
Kein Service bei Rent-a-Bike. Entgegen Vetsprechen bei Ausgabe in Basel gab es kein Ersatzrad für defektes E- Bike. Ausserdem langes Anstehen bei Infoschalter für Radrückgabe.	1	< 0.1%
Es wäre wünschenswert, dass die SBB Sharingsprodukte via SBB App anbieten würde (inkl. Bezahlung)	1	< 0.1%
Schlechter Platz, war früher viel besser als noch direkt durch Unterführung zu erreichen	1	< 0.1%
-	1	< 0.1%
Pas de Kiosque magasin café à côté	1	< 0.1%
Other values (3)	3	< 0.1%
(Missing)	437164	80.0%

R_stoerung
Categorical

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	4.2 MiB

Nein	432121
-77	66778
Ja	40807
Weiss nicht	6937

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Nein
2nd row	Nein
3rd row	Nein
4th row	Nein
5th row	Nein

Common Values

Value	Count	Frequency (%)
Nein	432121	79.0%
-77	66778	12.2%
Ja	40807	7.5%
Weiss nicht	6937	1.3%

Common Values (Plot)

R_umsteig_andere
Categorical

IMBALANCE MISSING

Distinct	3
Distinct (%)	< 0.1%
Missing	437164
Missing (%)	80.0%
Memory size	4.2 MiB

-77	105292
not quoted	2880
quoted	1307

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	-77
2nd row	-77
3rd row	-77
4th row	-77
5th row	-77

Common Values

Value	Count	Frequency (%)
-77	105292	19.3%
not quoted	2880	0.5%
quoted	1307	0.2%
(Missing)	437164	80.0%

Common Values (Plot)

R_umsteig_andere_txt
Categorical

HIGH CARDINALITY IMBALANCE MISSING

Distinct	1256
Distinct (%)	1.1%
Missing	437164
Missing (%)	80.0%
Memory size	4.2 MiB

-66	108172
Baustelle	8
-	6
.	5
Nichts	5
Other values (1251)	1283

Overview
Categories

Unique

Unique	1227 ?
Unique (%)	1.1%

Sample

1st row	-66
2nd row	-66
3rd row	-66
4th row	-66
5th row	-66

Common Values

Value	Count	Frequency (%)
-66	108172	19.8%
Baustelle	8	< 0.1%
-	6	< 0.1%
.	5	< 0.1%
Nichts	5	< 0.1%
Umsteigezeit	4	< 0.1%
Travaux	3	< 0.1%
Alles ok	3	< 0.1%
nichts	3	< 0.1%
Verspätung	3	< 0.1%
Other values (1246)	1267	0.2%
(Missing)	437164	80.0%

R_umsteig_park
Categorical

IMBALANCE MISSING

Distinct	3
Distinct (%)	< 0.1%
Missing	437164
Missing (%)	80.0%
Memory size	4.2 MiB

-77	105292
not quoted	4004
quoted	183

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	-77
2nd row	-77
3rd row	-77
4th row	-77
5th row	-77

Common Values

Value	Count	Frequency (%)
-77	105292	19.3%
not quoted	4004	0.7%
quoted	183	< 0.1%
(Missing)	437164	80.0%

Common Values (Plot)

R_umsteig_trambus
Categorical

IMBALANCE MISSING

Distinct	3
Distinct (%)	< 0.1%
Missing	437164
Missing (%)	80.0%
Memory size	4.2 MiB

-77	105292
not quoted	3368
quoted	819

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	-77
2nd row	-77
3rd row	-77
4th row	-77
5th row	-77

Common Values

Value	Count	Frequency (%)
-77	105292	19.3%
not quoted	3368	0.6%
quoted	819	0.1%
(Missing)	437164	80.0%

Common Values (Plot)

R_umsteig_zug
Categorical

IMBALANCE MISSING

Distinct	3
Distinct (%)	< 0.1%
Missing	437164
Missing (%)	80.0%
Memory size	4.2 MiB

-77	105292
quoted	2494
not quoted	1693

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	-77
2nd row	-77
3rd row	-77
4th row	-77
5th row	-77

Common Values

Value	Count	Frequency (%)
-77	105292	19.3%
quoted	2494	0.5%
not quoted	1693	0.3%
(Missing)	437164	80.0%

Common Values (Plot)

R_unzuf_comfort_txt
Categorical

HIGH CARDINALITY IMBALANCE MISSING

Distinct	16840
Distinct (%)	3.1%
Missing	11957
Missing (%)	2.2%
Memory size	4.2 MiB

-66	516077
-99	1228
-	23
Altes Rollmaterial	20
Kein Sitzplatz	17
Other values (16835)	17321

Overview
Categories

Unique

Unique	16621 ?
Unique (%)	3.1%

Sample

1st row	-66
2nd row	-66
3rd row	-66
4th row	-66
5th row	-66

Common Values

Value	Count	Frequency (%)
-66	516077	94.4%
-99	1228	0.2%
-	23	< 0.1%
Altes Rollmaterial	20	< 0.1%
Kein Sitzplatz	17	< 0.1%
Überfüllt	15	< 0.1%
.	14	< 0.1%
Nein	13	< 0.1%
Zu voll	10	< 0.1%
Non	10	< 0.1%
Other values (16830)	17259	3.2%
(Missing)	11957	2.2%

R_unzuf_fahrplan_txt
Categorical

HIGH CARDINALITY IMBALANCE MISSING

Distinct	6690
Distinct (%)	3.7%
Missing	367364
Missing (%)	67.2%
Memory size	4.2 MiB

-66	172521
Verspätung	21
Zugausfall	6
Retard	5
Zug hatte Verspätung	4
Other values (6685)	6722

Overview
Categories

Unique

Unique	6656 ?
Unique (%)	3.7%

Sample

1st row	Magari fate dei sondaggi chiedendo informazioni piu logiche; avete chiesto l'ora di partenza ... che ne so io; quello che so e il ritardo al arrivo in minuti; usate il cervello e avrete piu risposte; evitate il tecnocratico che infetta le sbb
2nd row	-66
3rd row	-66
4th row	Umsteigen, zu volle Abteile, werde daher nicht mehr SBB benutzen, bevor die SBB mehr Abteile haben wird. Der Kondukteur könnte auch etwas freundlicher sein und den Gestapo Ton mal ablegen
5th row	-66

Common Values

Value	Count	Frequency (%)
-66	172521	31.6%
Verspätung	21	< 0.1%
Zugausfall	6	< 0.1%
Retard	5	< 0.1%
Zug hatte Verspätung	4	< 0.1%
Mehr Verbindungen	4	< 0.1%
Train en retard	4	< 0.1%
Zugsausfall	3	< 0.1%
30 min Verspätung	3	< 0.1%
Verspätung des Zuges	3	< 0.1%
Other values (6680)	6705	1.2%
(Missing)	367364	67.2%

R_unzuf_gastro_ambiente_txt
Categorical

HIGH CARDINALITY IMBALANCE

Distinct	156
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	4.2 MiB

-66	380792
	165697
Tischtücher waren schmutzig	1
Etwas moderner werden und die Stoff Tischtücher weg nehmen sie sind manchmal nicht so hygienisch!	1
Il s'agissait d'un soit-disant bistro, un endroit terne avec de banquettes à partager avec d'autres voyageurs, très petit et peu accueillant.	1
Other values (151)	151

Overview
Categories

Unique

Unique	154 ?
Unique (%)	< 0.1%

Sample

1st row	-66
2nd row	-66
3rd row	-66
4th row	-66
5th row	-66

Common Values

Value	Count	Frequency (%)
-66	380792	69.7%
	165697	30.3%
Tischtücher waren schmutzig	1	< 0.1%
Etwas moderner werden und die Stoff Tischtücher weg nehmen sie sind manchmal nicht so hygienisch!	1	< 0.1%
Il s'agissait d'un soit-disant bistro, un endroit terne avec de banquettes à partager avec d'autres voyageurs, très petit et peu accueillant.	1	< 0.1%
Es war ein Bombardier zug. Schlechte Einrichtung - kein Platz für Mäntel,	1	< 0.1%
Z. B saubere Tischtücher	1	< 0.1%
To busy and noise	1	< 0.1%
Eher unterkühlte Einrichtung.	1	< 0.1%
Die neuen Züge sind nicht mehr wirklich gemütlich (das trifft auf nahezu alle Züge von Stadler zu): Zu viele helle und glatte Flächen im Innenraum. Ich wünschte mir wärmere Farben und Texturen; weniger Glas, mehr Holz. Es ist zwar nett, dass so viele Infoscreens rumhängen, wenn ich aber sehe, wie Informationen auf diesen präsentiert werden, wundere ich mich, was hier die Überlegungen waren. So wird etwa die eingeblendete Uhr bei einer Durchsage vom Lautsprecher-Symbol verdeckt: Wiese befinden sich beide Symbole am selben Ort, wo sonst so viel Platz ist? Wies befindet sich die Uhr überhaupt unten links und nicht unten rechts: Dann bliebe viel mehr Platz für die Karte! Ausserdem, und dies ist viel wichtiger und stört mich schon seit langem extrem: Die Lautsprecher sind in fast allen Zügen viel, viel zu laut eingestellt. Es ist wirklich unangenehm bis schmerzhaft, wenn man direkt unter einem Lautsprecher sitzt. Und die Chance, dass man unter einem Lautsprecher sitzt, ist in den neuen Zügen sehr hoch.	1	< 0.1%
Other values (146)	146	< 0.1%

R_unzuf_gastro_auswahl_txt
Categorical

HIGH CARDINALITY IMBALANCE

Distinct	179
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	4.2 MiB

-66	380769
	165697
Das Frühstücks-Angebot war unter aller Sau!	1
Die Hälfte der Gerichte auf der Karte war nicht verfügbar - es gab nur ein heisses Gericht	1
zuwenig Alternativen zur milch latte macciato mit Hafermilch ist nicht möglich, obwohl Hafermilch in der Speisekarte steht	1
Other values (174)	174

Overview
Categories

Unique

Unique	177 ?
Unique (%)	< 0.1%

Sample

1st row	-66
2nd row	-66
3rd row	-66
4th row	-66
5th row	-66

Common Values

Value	Count	Frequency (%)
-66	380769	69.7%
	165697	30.3%
Das Frühstücks-Angebot war unter aller Sau!	1	< 0.1%
Die Hälfte der Gerichte auf der Karte war nicht verfügbar - es gab nur ein heisses Gericht	1	< 0.1%
zuwenig Alternativen zur milch latte macciato mit Hafermilch ist nicht möglich, obwohl Hafermilch in der Speisekarte steht	1	< 0.1%
Gerne Ein grosser Teil des Angebotes war nicht verfügbar (kein Frühstück, keine Gipfeli, etc.), zudem war die Kaffeemaschine erst nach 45 Minuten Fahrt einsatzbereit. Angegeben wurden logistische Gründe, ein einmaliges Malheur sozusagen. Von 10 Malen, die ich seit September auf dieser Verbindung und Uhrzeit den Spesewagen genutzt habe, ist das 3 Mal vorgekommen. Es scheint mir mehr als ein Versehen zu sein, sondern an Ihrer Logistik. Anregung: wahrscheinlich früher aufstehen:). Scherz beiseite: irgend eine Form von Sicherheit einbauen. Das schaffen Sie bestimmt.	1	< 0.1%
Als Person die sich vegetarisch ernährt und eine Glutenunverträglichkeit hat, gibt es kaum Auswahl. Ich fahre 2x pro Woche diese Strecke, habe ich mich schon mehrfach ohne Erfolg dazu geäußert. Vielleicht hilft es diesmal. Nicht auf dieserReise aber auf anderen wurde mir klar, dass das Personal nicht geschult Ist und den Unterschied zwischen vegan und glutenfrei nicht kennt. Es ollte meiner Meinung nach zumindest glutenfreies Brot geben. Im Winter schafft man es mit Risotto, wenn dieses vegetarisch ist aber seit Monaten wird mir Bulgur (nicht glutenfrei) oder Ravioli (nicht glutenfrei) angeboten. Schade	1	< 0.1%
keine Gipfeli Wir (eine mir unbekannte Passagierin und ich) mussten mehrmals nachfragen um die Rg. zu begleichen obwohl nicht Grossandrang war.	1	< 0.1%
Nur ein paar Kägi Kekse verfügbar. Kaffee viel teurer als im ICE und winzig.	1	< 0.1%
kein darvida nichts gesundes	1	< 0.1%
Other values (169)	169	< 0.1%

R_unzuf_gastro_freundlich_txt
Categorical

Distinct	49
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	4.2 MiB

-66	380899
	165697
Sehr unfreundliche Bedienug!	1
Der Herr im Bistro, hat uns in Thun aus dem Bistro verabschiedet. Er müsse nun abrechnen und bis Bern aufräumen, da dieses Bistro anschliessend geschlossen werde. Entsprechend standen wir anschliessend mit 10 anderen Personen vor dem WC, resp. auf der Treppe...	1
Zeigte null Interesse und vergass beinahe das Einkassieren…ich hätte beibahe deb Zug zu spät verlassen	1
Other values (44)	44

Overview
Categories

Unique

Unique	47 ?
Unique (%)	< 0.1%

Sample

1st row	-66
2nd row	-66
3rd row	-66
4th row	-66
5th row	-66

Common Values

Value	Count	Frequency (%)
-66	380899	69.7%
	165697	30.3%
Sehr unfreundliche Bedienug!	1	< 0.1%
Der Herr im Bistro, hat uns in Thun aus dem Bistro verabschiedet. Er müsse nun abrechnen und bis Bern aufräumen, da dieses Bistro anschliessend geschlossen werde. Entsprechend standen wir anschliessend mit 10 anderen Personen vor dem WC, resp. auf der Treppe...	1	< 0.1%
Zeigte null Interesse und vergass beinahe das Einkassieren…ich hätte beibahe deb Zug zu spät verlassen	1	< 0.1%
Die Bedienung war sehr unfreundlich	1	< 0.1%
Ein Lächeln bringt ein Lächeln zurück	1	< 0.1%
Es war ein Bistro der Deutschen Bahn... Die Service-Mitarbeiterin war sehr wortkarg (kein Danke, kein Bitte etc.).	1	< 0.1%
They forced my companion to order, and didn’t give him enough time to decide on what he wanted.	1	< 0.1%
Ich fand die Person ziemlich unfreundlich. An jeder Station sind Leute eingestiegen, welche eine Reservation für den Speisewagen hatte. Der Mann, hat dann einfach ziemlich gehässig die Anzahl Personen aufgefordert Platz zu machen.	1	< 0.1%
Other values (39)	39	< 0.1%

R_unzuf_gastro_kompetenz_txt
Categorical

HIGH CARDINALITY IMBALANCE

Distinct	71
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	4.2 MiB

-66	380877
	165697
Es ging viel zu lange bis ich das Essen bekam . Hatte nur noch 10 Minuten Zeit zum essen. Habe vorab gefragt ob die Zeit reiche. Dies wurde mir versichert. Schlechte Beratung dadurch und das Fleisch war nicht warm	1
Die Dame war überaus unhöflich, inkompetent, motzig und unsymphatisch.	1
Konnte nicht online zahlen. Wurde auch nicht vorher kommuniziert	1
Other values (66)	66

Overview
Categories

Unique

Unique	69 ?
Unique (%)	< 0.1%

Sample

1st row	-66
2nd row	-66
3rd row	-66
4th row	-66
5th row	-66

Common Values

Value	Count	Frequency (%)
-66	380877	69.7%
	165697	30.3%
Es ging viel zu lange bis ich das Essen bekam . Hatte nur noch 10 Minuten Zeit zum essen. Habe vorab gefragt ob die Zeit reiche. Dies wurde mir versichert. Schlechte Beratung dadurch und das Fleisch war nicht warm	1	< 0.1%
Die Dame war überaus unhöflich, inkompetent, motzig und unsymphatisch.	1	< 0.1%
Konnte nicht online zahlen. Wurde auch nicht vorher kommuniziert	1	< 0.1%
Der Herr war freundlich, angenehm und sympathisch, aber eher langsam und teilweise etwas überfordert. Für uns war das aber kein Problem.	1	< 0.1%
Zuerst musste das Personal noch alles einrichten und Tischtücher montieren, bevor wir endlich fast in Winterthur etwas bestellen konnten....	1	< 0.1%
La personne présente était très aimable et de bonne volonté . Mais manifestement ne semblait pas vraiment formée pour ce travail. Je me suis dit que vous deviez avoir des problèmes pour recruter des personnes qualifiées dans ce domaine .	1	< 0.1%
Der Kellner erschien erstmals etwa drei Minuten nach Abfahrt des Zuges bei der Küche, wo er den Rolladen betätigte. Im Speisewagen waren fast alle Plätze belegt. Ich wurde dann im Hauenstein-Tunnel nach meinen Wünschen befragt.	1	< 0.1%
Gennerell das Personal……	1	< 0.1%
Other values (61)	61	< 0.1%

R_unzuf_gastro_preis_txt
Categorical

HIGH CARDINALITY IMBALANCE

Distinct	268
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	4.2 MiB

-66	380664
	165697
Zu teuer	12
Überteuert	3
Troppo caro	2
Other values (263)	265

Overview
Categories

Unique

Unique	261 ?
Unique (%)	< 0.1%

Sample

1st row	-66
2nd row	-66
3rd row	-66
4th row	-66
5th row	-66

Common Values

Value	Count	Frequency (%)
-66	380664	69.6%
	165697	30.3%
Zu teuer	12	< 0.1%
Überteuert	3	< 0.1%
Troppo caro	2	< 0.1%
Viel zu teuer	2	< 0.1%
Relativ teuer	2	< 0.1%
Bisschen günstiger für die Qualität und mehr Personal, da Wartezeit zu lang	1	< 0.1%
Einige Sachen gingen günstiger.	1	< 0.1%
Die Getränke sind eindeutig zu teuer.	1	< 0.1%
Other values (258)	258	< 0.1%

R_unzuf_info_txt
Categorical

HIGH CARDINALITY IMBALANCE MISSING

Distinct	3427
Distinct (%)	1.6%
Missing	328381
Missing (%)	60.1%
Memory size	4.2 MiB

-66	214826
Ich war zufrieden	3
-	3
Ich war zufrieden!	3
Maskenpflicht	2
Other values (3422)	3425

Overview
Categories

Unique

Unique	3419 ?
Unique (%)	1.6%

Sample

1st row	-66
2nd row	-66
3rd row	-66
4th row	Les 10 chf que j ai payé correspondent à deux réservations vélo (2 vélos) . Néanmoins je n ai pas pu réserver les places vélos que 1 jour avant . Avant cela pas de possibilité de réserver . Même la hotline m affirme qu ‘ il n était pas possible de réserver deux places pour vélos pour cause de week end de Pentecôte , information qui s’est révélée fausse
5th row	-66

Common Values

Value	Count	Frequency (%)
-66	214826	39.3%
Ich war zufrieden	3	< 0.1%
-	3	< 0.1%
Ich war zufrieden!	3	< 0.1%
Maskenpflicht	2	< 0.1%
sauberkeit	2	< 0.1%
?	2	< 0.1%
Zu teuer.	2	< 0.1%
J'ai imprimer le billet que j'ai trouvé peu clair. Je suis allé sur le site billets dégriffés mais je n'ai vu sur le billet aucune indication pour savoir si il s'agit bien d'un billet dégriffé ou non. Les informations allées-retour sont à mon sens difficiles à déchiffrés. Pour avoir des renseignements complémentaires j'ai écrit un email (num. de référence CS000512064) via le site internet cff.ch. le 25.05 à 10:05. J'ai reçu un courriel automatique de service@SBB.ch me garantissant une réponse dans les 48 heures. J'attends toujours ... (28.05.2021 / 15:06).	1	< 0.1%
Teilweise werden für jeden unterschiedliche Verbindungen für verschiedene Personen angezeigt, nervig für die Planung mit Freunden	1	< 0.1%
Other values (3417)	3417	0.6%
(Missing)	328381	60.1%

R_unzuf_mobile_txt
Categorical

HIGH CARDINALITY IMBALANCE MISSING

Distinct	5672
Distinct (%)	3.2%
Missing	367364
Missing (%)	67.2%
Memory size	4.2 MiB

-66	173388
Schlechter Empfang	19
Kein Empfang	18
Kein WLAN	17
Kein wlan	14
Other values (5667)	5823

Overview
Categories

Unique

Unique	5586 ?
Unique (%)	3.1%

Sample

1st row	-66
2nd row	-66
3rd row	-66
4th row	-66
5th row	-66

Common Values

Value	Count	Frequency (%)
-66	173388	31.7%
Schlechter Empfang	19	< 0.1%
Kein Empfang	18	< 0.1%
Kein WLAN	17	< 0.1%
Kein wlan	14	< 0.1%
-	14	< 0.1%
Nein	13	< 0.1%
Kein WLAN im Zug	8	< 0.1%
Kein Wlan	6	< 0.1%
No	5	< 0.1%
Other values (5662)	5777	1.1%
(Missing)	367364	67.2%

R_unzuf_platzangebot_txt
Categorical

HIGH CARDINALITY IMBALANCE MISSING

Distinct	9636
Distinct (%)	4.4%
Missing	328381
Missing (%)	60.1%
Memory size	4.2 MiB

-66	208230
Zu wenig Sitzplätze	21
Überfüllt	21
Zug war überfüllt	15
Der Zug war sehr voll.	15
Other values (9631)	9960

Overview
Categories

Unique

Unique	9481 ?
Unique (%)	4.3%

Sample

1st row	-66
2nd row	-66
3rd row	-66
4th row	-66
5th row	-66

Common Values

Value	Count	Frequency (%)
-66	208230	38.1%
Zu wenig Sitzplätze	21	< 0.1%
Überfüllt	21	< 0.1%
Zug war überfüllt	15	< 0.1%
Der Zug war sehr voll.	15	< 0.1%
Train bondé	10	< 0.1%
Trop de monde	9	< 0.1%
Der Zug war sehr voll	8	< 0.1%
Beaucoup de monde	8	< 0.1%
Zu viele Leute	8	< 0.1%
Other values (9626)	9917	1.8%
(Missing)	328381	60.1%

R_unzuf_preis_txt
Categorical

HIGH CARDINALITY IMBALANCE MISSING

Distinct	13736
Distinct (%)	7.7%
Missing	367364
Missing (%)	67.2%
Memory size	4.2 MiB

-66	164791
Zu teuer	180
Trop cher	88
zu teuer	67
Teuer	22
Other values (13731)	14131

Overview
Categories

Unique

Unique	13576 ?
Unique (%)	7.6%

Sample

1st row	-66
2nd row	-66
3rd row	-66
4th row	-66
5th row	-66

Common Values

Value	Count	Frequency (%)
-66	164791	30.1%
Zu teuer	180	< 0.1%
Trop cher	88	< 0.1%
zu teuer	67	< 0.1%
Teuer	22	< 0.1%
Viel zu teuer	22	< 0.1%
Sehr teuer	19	< 0.1%
trop cher	17	< 0.1%
Prix trop élevé	13	< 0.1%
-	12	< 0.1%
Other values (13726)	14048	2.6%
(Missing)	367364	67.2%

R_unzuf_gastro_quality_txt
Categorical

HIGH CARDINALITY IMBALANCE

Distinct	99
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	4.2 MiB

-66	380848
	165697
Kaffee war kalt	2
le chocolat chaud était froid!	1
Speisewagen war nicht bedient. Wir kamen von einem verspäteten Flug und hätten gerne etwas gegessen und getrunken. Das ist innert 6 Monaten das 2. Mal, dass mir das passiert.	1
Other values (94)	94

Overview
Categories

Unique

Unique	96 ?
Unique (%)	< 0.1%

Sample

1st row	-66
2nd row	-66
3rd row	-66
4th row	-66
5th row	-66

Common Values

Value	Count	Frequency (%)
-66	380848	69.7%
	165697	30.3%
Kaffee war kalt	2	< 0.1%
le chocolat chaud était froid!	1	< 0.1%
Speisewagen war nicht bedient. Wir kamen von einem verspäteten Flug und hätten gerne etwas gegessen und getrunken. Das ist innert 6 Monaten das 2. Mal, dass mir das passiert.	1	< 0.1%
zwei Cappuccino bestellt dessen Schaum nicht ein leichter Milchschaum war sondern eine sehr solide steife Masse die mehr als die Hälfte des Inhalts ausmachte. Anscheinend in der Maschine so vorprogrammiert aber da müsste man was ändern, es war kein Genuss. Wenn man denn mal zum Kaffee kam, war der gut.	1	< 0.1%
No options only nuts were available	1	< 0.1%
Le café expresso n'est pas terrible du tout, vous pourriez faire mieux, surtout avec l'offre très variée de capsules.	1	< 0.1%
il ny avais pas de croissant et rien d'autre pour déjeuner pour un voyage de 4 heure via Lugano j'ai pris des boisson le service Top	1	< 0.1%
Das Gipfeli war trocken.	1	< 0.1%
Other values (89)	89	< 0.1%

R_unzuf_puenktlichkeit_txt
Categorical

HIGH CARDINALITY IMBALANCE MISSING

Distinct	6005
Distinct (%)	2.8%
Missing	328381
Missing (%)	60.1%
Memory size	4.2 MiB

-66	211946
Verspätung	81
Retard	33
Zug hatte Verspätung	11
Der Zug hatte Verspätung	11
Other values (6000)	6180

Overview
Categories

Unique

Unique	5909 ?
Unique (%)	2.7%

Sample

1st row	-66
2nd row	-66
3rd row	-66
4th row	-66
5th row	-66

Common Values

Value	Count	Frequency (%)
-66	211946	38.8%
Verspätung	81	< 0.1%
Retard	33	< 0.1%
Zug hatte Verspätung	11	< 0.1%
Der Zug hatte Verspätung	11	< 0.1%
Train en retard	11	< 0.1%
Retard du train	10	< 0.1%
Anschluss verpasst	10	< 0.1%
Zugausfall	9	< 0.1%
Zugsausfall	8	< 0.1%
Other values (5995)	6132	1.1%
(Missing)	328381	60.1%

R_unzuf_Sauberkeit_Bhf_txt
Categorical

HIGH CARDINALITY IMBALANCE MISSING

Distinct	2556
Distinct (%)	2.3%
Missing	437861
Missing (%)	80.1%
Memory size	4.2 MiB

-66	106193
-	8
Baustelle	6
Abfall am Boden	5
.	4
Other values (2551)	2566

Overview
Categories

Unique

Unique	2539 ?
Unique (%)	2.3%

Sample

1st row	-66
2nd row	-66
3rd row	-66
4th row	-66
5th row	-66

Common Values

Value	Count	Frequency (%)
-66	106193	19.4%
-	8	< 0.1%
Baustelle	6	< 0.1%
Abfall am Boden	5	< 0.1%
.	4	< 0.1%
Littering	4	< 0.1%
Travaux	3	< 0.1%
Dreckig	2	< 0.1%
Überall Müll	2	< 0.1%
Déchets au sol	2	< 0.1%
Other values (2546)	2553	0.5%
(Missing)	437861	80.1%

R_unzuf_sicherheit_zug
Categorical

IMBALANCE MISSING

Distinct	34
Distinct (%)	< 0.1%
Missing	437164
Missing (%)	80.0%
Memory size	4.2 MiB

-66	109445
Keine	2
je ne pense pas que les controles doivent se faire en présence des forces de sécurité	1
C'est surprenant et dommage d'avoir besoin de forces de sécurité dans le train...	1
Si la polizia Svizzera non è presente sul treno.	1
Other values (29)	29

Overview
Categories

Unique

Unique	32 ?
Unique (%)	< 0.1%

Sample

1st row	-66
2nd row	-66
3rd row	-66
4th row	-66
5th row	-66

Common Values

Value	Count	Frequency (%)
-66	109445	20.0%
Keine	2	< 0.1%
je ne pense pas que les controles doivent se faire en présence des forces de sécurité	1	< 0.1%
C'est surprenant et dommage d'avoir besoin de forces de sécurité dans le train...	1	< 0.1%
Si la polizia Svizzera non è presente sul treno.	1	< 0.1%
Elles sont inutiles et augmentent artificiellement le prix des billets.	1	< 0.1%
Jeden Tag dazu lernen	1	< 0.1%
this is the second time that there are loud and truly drunk passengers who disrupt other passengers. in this case between between Lausanne and Yverdon. Last time was between Lausanne and Auvernier	1	< 0.1%
Zivilpolizisten, die nicht gerade freundlich mit Menschen mit Migrationshintergrund umgingen.	1	< 0.1%
Vier Sicherheitskräfte standen plaudernd bei den Türen am einen Ende des Waggons während auf der anderen Seite Leute angepöbelt wurden und der Treppenaufgang von der 1.Kl. unten zur Türe mit sitzenden Hockeyfans blockiert wurde. Einer dieser Fans war sogar maskiert.	1	< 0.1%
Other values (24)	24	< 0.1%
(Missing)	437164	80.0%

R_unzuf_stoerungsinfo_txt
Categorical

HIGH CARDINALITY IMBALANCE MISSING

Distinct	3767
Distinct (%)	1.1%
Missing	218263
Missing (%)	39.9%
Memory size	4.2 MiB

-66	324115
-99	469
Non	4
aucune information	4
Es gab keine Information	4
Other values (3762)	3784

Overview
Categories

Unique

Unique	3746 ?
Unique (%)	1.1%

Sample

1st row	-66
2nd row	-66
3rd row	-66
4th row	-66
5th row	-66

Common Values

Value	Count	Frequency (%)
-66	324115	59.3%
-99	469	0.1%
Non	4	< 0.1%
aucune information	4	< 0.1%
Es gab keine Information	4	< 0.1%
Es gab keine Informationen	4	< 0.1%
Besser informieren	3	< 0.1%
Siehe oben	3	< 0.1%
	3	< 0.1%
Nein	3	< 0.1%
Other values (3757)	3768	0.7%
(Missing)	218263	39.9%

R_unzuf_wc_avail_txt
Categorical

HIGH CARDINALITY IMBALANCE

Distinct	6103
Distinct (%)	1.1%
Missing	0
Missing (%)	0.0%
Memory size	4.2 MiB

-66	539434
-99	709
Kein WC vorhanden	22
Defekt	21
WC war defekt	12
Other values (6098)	6445

Overview
Categories

Unique

Unique	5913 ?
Unique (%)	1.1%

Sample

1st row	-66
2nd row	-66
3rd row	-66
4th row	-66
5th row	-66

Common Values

Value	Count	Frequency (%)
-66	539434	98.7%
-99	709	0.1%
Kein WC vorhanden	22	< 0.1%
Defekt	21	< 0.1%
WC war defekt	12	< 0.1%
WC war geschlossen	11	< 0.1%
War geschlossen	10	< 0.1%
WC defekt	10	< 0.1%
Nein	9	< 0.1%
Es gibt kein WC	8	< 0.1%
Other values (6093)	6397	1.2%

R_unzuf_wc_clean_txt
Categorical

HIGH CARDINALITY IMBALANCE

Distinct	4607
Distinct (%)	0.8%
Missing	0
Missing (%)	0.0%
Memory size	4.2 MiB

-66	541394
-99	502
Putzen	8
Pas propre	7
-	7
Other values (4602)	4725

Overview
Categories

Unique

Unique	4529 ?
Unique (%)	0.8%

Sample

1st row	-66
2nd row	-66
3rd row	-66
4th row	-66
5th row	-66

Common Values

Value	Count	Frequency (%)
-66	541394	99.0%
-99	502	0.1%
Putzen	8	< 0.1%
Pas propre	7	< 0.1%
-	7	< 0.1%
Dreckig	7	< 0.1%
Schmutzig	7	< 0.1%
Es war nicht sauber	5	< 0.1%
nicht sauber	5	< 0.1%
Putzen!	5	< 0.1%
Other values (4597)	4696	0.9%

R_unzuf_Wegweisung_Bhf_txt
Categorical

HIGH CARDINALITY IMBALANCE MISSING

Distinct	2420
Distinct (%)	2.2%
Missing	437861
Missing (%)	80.1%
Memory size	4.2 MiB

-66	106322
Baustelle	10
.	8
Nein	5
Bauarbeiten	5
Other values (2415)	2432

Overview
Categories

Unique

Unique	2404 ?
Unique (%)	2.2%

Sample

1st row	-66
2nd row	-66
3rd row	-66
4th row	-66
5th row	-66

Common Values

Value	Count	Frequency (%)
-66	106322	19.4%
Baustelle	10	< 0.1%
.	8	< 0.1%
Nein	5	< 0.1%
Bauarbeiten	5	< 0.1%
Umbau	4	< 0.1%
Idem	3	< 0.1%
-	3	< 0.1%
Travaux	3	< 0.1%
Unübersichtlich	3	< 0.1%
Other values (2410)	2416	0.4%
(Missing)	437861	80.1%

R_unzuf_zug_clean_txt
Categorical

HIGH CARDINALITY IMBALANCE

Distinct	11326
Distinct (%)	2.1%
Missing	0
Missing (%)	0.0%
Memory size	4.2 MiB

-66	533755
-99	1245
.	15
Dreckige Sitze	13
Nein	13
Other values (11321)	11602

Overview
Categories

Unique

Unique	11191 ?
Unique (%)	2.0%

Sample

1st row	-66
2nd row	-66
3rd row	-66
4th row	-66
5th row	-66

Common Values

Value	Count	Frequency (%)
-66	533755	97.6%
-99	1245	0.2%
.	15	< 0.1%
Dreckige Sitze	13	< 0.1%
Nein	13	< 0.1%
-	13	< 0.1%
Schmutzige Sitze	13	< 0.1%
Putzen	10	< 0.1%
	9	< 0.1%
Schmutzig	9	< 0.1%
Other values (11316)	11548	2.1%

R_unzuf_zugpers_txt
Categorical

HIGH CARDINALITY IMBALANCE

Distinct	3210
Distinct (%)	0.6%
Missing	0
Missing (%)	0.0%
Memory size	4.2 MiB

-66	543168
-99	214
Unfreundlich	17
Nein	6
unfreundlich	4
Other values (3205)	3234

Overview
Categories

Unique

Unique	3181 ?
Unique (%)	0.6%

Sample

1st row	-66
2nd row	-66
3rd row	-66
4th row	-66
5th row	-66

Common Values

Value	Count	Frequency (%)
-66	543168	99.4%
-99	214	< 0.1%
Unfreundlich	17	< 0.1%
Nein	6	< 0.1%
unfreundlich	4	< 0.1%
Keine Kontrolle	3	< 0.1%
Siehe vorher	3	< 0.1%
Ich habe kein Zugpersonal gesehen	3	< 0.1%
No	3	< 0.1%
Habe kein Zugpersonal gesehen	3	< 0.1%
Other values (3200)	3219	0.6%

R_Velo
Categorical

HIGH CARDINALITY IMBALANCE MISSING

Distinct	680
Distinct (%)	0.6%
Missing	437164
Missing (%)	80.0%
Memory size	4.2 MiB

-66	108785
Zu wenige	5
Zu wenige Abstellplätze	4
Zu wenig	3
Es hat zu wenig.	2
Other values (675)	680

Overview
Categories

Unique

Unique	670 ?
Unique (%)	0.6%

Sample

1st row	-66
2nd row	-66
3rd row	-66
4th row	-66
5th row	-66

Common Values

Value	Count	Frequency (%)
-66	108785	19.9%
Zu wenige	5	< 0.1%
Zu wenige Abstellplätze	4	< 0.1%
Zu wenig	3	< 0.1%
Es hat zu wenig.	2	< 0.1%
Pas assez de place	2	< 0.1%
zu wenige	2	< 0.1%
Zu wenig Platz	2	< 0.1%
Überfüllt	2	< 0.1%
zu wenig Plätze	2	< 0.1%
Other values (670)	670	0.1%
(Missing)	437164	80.0%

R_WC
Categorical

HIGH CARDINALITY IMBALANCE MISSING

Distinct	120
Distinct (%)	0.1%
Missing	437164
Missing (%)	80.0%
Memory size	4.2 MiB

-66	109360
Alte stinkige Anlage. Ein Umbau wäre dringend nötig.	1
Keine Möglichkeit mit Karte oder TWINT zu bezahlen. Kein Münzwechsler in der Nähe.	1
Für Personen ohne Handy, gibt es heute noch bei älteren Personen. Die haben keine Chance.	1
Man kann nur aufs WC mit einer ec oder Kreditkarte, das finde ich unglaublich!!!!! Kinder und Jugendliche, Erwachsene und ältere Menschen besitzen keine oder haben die Karte nicht immer dabei!!!!!!	1
Other values (115)	115

Overview
Categories

Unique

Unique	119 ?
Unique (%)	0.1%

Sample

1st row	-66
2nd row	-66
3rd row	-66
4th row	-66
5th row	-66

Common Values

Value	Count	Frequency (%)
-66	109360	20.0%
Alte stinkige Anlage. Ein Umbau wäre dringend nötig.	1	< 0.1%
Keine Möglichkeit mit Karte oder TWINT zu bezahlen. Kein Münzwechsler in der Nähe.	1	< 0.1%
Für Personen ohne Handy, gibt es heute noch bei älteren Personen. Die haben keine Chance.	1	< 0.1%
Man kann nur aufs WC mit einer ec oder Kreditkarte, das finde ich unglaublich!!!!! Kinder und Jugendliche, Erwachsene und ältere Menschen besitzen keine oder haben die Karte nicht immer dabei!!!!!!	1	< 0.1%
Die WC sind SEHR alt und SEHR schmutzig	1	< 0.1%
Im WC bei den Schliessfächern waren die Männer und Damentoiletten leider ziemlich verschmutzt.	1	< 0.1%
Die WC's waren richtig dreckig! Bei kostenpflichtigen WC's erwarte ich tadellose Sauberkeit.	1	< 0.1%
Nicht sauber - es wird scheinbar nur Geld (1€) verlangt und nichts in die Sauberkeit und Infrastruktur investiert.	1	< 0.1%
Die Anlage ist veraltet!	1	< 0.1%
Other values (110)	110	< 0.1%
(Missing)	437164	80.0%

R_wc_na_start
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	437164
Missing (%)	80.0%
Memory size	4.2 MiB

not quoted	78155
-77	31158
quoted	166

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	not quoted
2nd row	not quoted
3rd row	-77
4th row	not quoted
5th row	not quoted

Common Values

Value	Count	Frequency (%)
not quoted	78155	14.3%
-77	31158	5.7%
quoted	166	< 0.1%
(Missing)	437164	80.0%

Common Values (Plot)

R_wc_na_ziel
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	437164
Missing (%)	80.0%
Memory size	4.2 MiB

not quoted	78207
-77	31158
quoted	114

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	not quoted
2nd row	not quoted
3rd row	-77
4th row	not quoted
5th row	not quoted

Common Values

Value	Count	Frequency (%)
not quoted	78207	14.3%
-77	31158	5.7%
quoted	114	< 0.1%
(Missing)	437164	80.0%

Common Values (Plot)

R_wc_na_zug
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	437164
Missing (%)	80.0%
Memory size	4.2 MiB

not quoted	77107
-77	31158
quoted	1214

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	not quoted
2nd row	not quoted
3rd row	-77
4th row	not quoted
5th row	not quoted

Common Values

Value	Count	Frequency (%)
not quoted	77107	14.1%
-77	31158	5.7%
quoted	1214	0.2%
(Missing)	437164	80.0%

Common Values (Plot)

R_wc_nutzung
Categorical

Distinct	6
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	4.2 MiB

Nein, hatte keinen Bedarf	404082
-77	66756
Ja	64754
Nein, war nicht verfügbar	10570
4	480

Overview
Categories

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	Nein, hatte keinen Bedarf
2nd row	Nein, war nicht verfügbar
3rd row	Nein, hatte keinen Bedarf
4th row	Nein, hatte keinen Bedarf
5th row	Nein, hatte keinen Bedarf

Common Values

Value	Count	Frequency (%)
Nein, hatte keinen Bedarf	404082	73.9%
-77	66756	12.2%
Ja	64754	11.8%
Nein, war nicht verfügbar	10570	1.9%
4	480	0.1%
0	1	< 0.1%

Common Values (Plot)

R_wc_start
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	437164
Missing (%)	80.0%
Memory size	4.2 MiB

not quoted	77643
-77	31158
quoted	678

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	not quoted
2nd row	not quoted
3rd row	-77
4th row	not quoted
5th row	not quoted

Common Values

Value	Count	Frequency (%)
not quoted	77643	14.2%
-77	31158	5.7%
quoted	678	0.1%
(Missing)	437164	80.0%

Common Values (Plot)

R_wc_ziel
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	437164
Missing (%)	80.0%
Memory size	4.2 MiB

not quoted	77650
-77	31158
quoted	671

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	not quoted
2nd row	not quoted
3rd row	-77
4th row	not quoted
5th row	not quoted

Common Values

Value	Count	Frequency (%)
not quoted	77650	14.2%
-77	31158	5.7%
quoted	671	0.1%
(Missing)	437164	80.0%

Common Values (Plot)

R_wc_zug
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	437164
Missing (%)	80.0%
Memory size	4.2 MiB

not quoted	65131
-77	31158
quoted	13190

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	quoted
2nd row	not quoted
3rd row	-77
4th row	not quoted
5th row	not quoted

Common Values

Value	Count	Frequency (%)
not quoted	65131	11.9%
-77	31158	5.7%
quoted	13190	2.4%
(Missing)	437164	80.0%

Common Values (Plot)

R_weg_andere
Categorical

IMBALANCE MISSING

Distinct	3
Distinct (%)	< 0.1%
Missing	437164
Missing (%)	80.0%
Memory size	4.2 MiB

-77	106842
not quoted	1889
quoted	748

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	-77
2nd row	-77
3rd row	-77
4th row	-77
5th row	-77

Common Values

Value	Count	Frequency (%)
-77	106842	19.5%
not quoted	1889	0.3%
quoted	748	0.1%
(Missing)	437164	80.0%

Common Values (Plot)

R_weg_andere_txt
Categorical

HIGH CARDINALITY IMBALANCE MISSING

Distinct	714
Distinct (%)	0.7%
Missing	437164
Missing (%)	80.0%
Memory size	4.2 MiB

-66	108731
Baustelle	10
Ausgang	6
Keine	5
Schliessfächer	4
Other values (709)	723

Overview
Categories

Unique

Unique	700 ?
Unique (%)	0.6%

Sample

1st row	-66
2nd row	-66
3rd row	-66
4th row	-66
5th row	-66

Common Values

Value	Count	Frequency (%)
-66	108731	19.9%
Baustelle	10	< 0.1%
Ausgang	6	< 0.1%
Keine	5	< 0.1%
Schliessfächer	4	< 0.1%
.	3	< 0.1%
Ausgänge	3	< 0.1%
Rien	3	< 0.1%
Zum Lift	3	< 0.1%
Sortie	3	< 0.1%
Other values (704)	708	0.1%
(Missing)	437164	80.0%

R_weg_laeden
Categorical

IMBALANCE MISSING

Distinct	3
Distinct (%)	< 0.1%
Missing	437164
Missing (%)	80.0%
Memory size	4.2 MiB

-77	106842
not quoted	2359
quoted	278

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	-77
2nd row	-77
3rd row	-77
4th row	-77
5th row	-77

Common Values

Value	Count	Frequency (%)
-77	106842	19.5%
not quoted	2359	0.4%
quoted	278	0.1%
(Missing)	437164	80.0%

Common Values (Plot)

R_weg_park
Categorical

IMBALANCE MISSING

Distinct	3
Distinct (%)	< 0.1%
Missing	437164
Missing (%)	80.0%
Memory size	4.2 MiB

-77	106842
not quoted	2473
quoted	164

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	-77
2nd row	-77
3rd row	-77
4th row	-77
5th row	-77

Common Values

Value	Count	Frequency (%)
-77	106842	19.5%
not quoted	2473	0.5%
quoted	164	< 0.1%
(Missing)	437164	80.0%

Common Values (Plot)

R_weg_share
Categorical

IMBALANCE MISSING

Distinct	3
Distinct (%)	< 0.1%
Missing	437164
Missing (%)	80.0%
Memory size	4.2 MiB

-77	106842
not quoted	2520
quoted	117

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	-77
2nd row	-77
3rd row	-77
4th row	-77
5th row	-77

Common Values

Value	Count	Frequency (%)
-77	106842	19.5%
not quoted	2520	0.5%
quoted	117	< 0.1%
(Missing)	437164	80.0%

Common Values (Plot)

R_weg_trambus
Categorical

IMBALANCE MISSING

Distinct	3
Distinct (%)	< 0.1%
Missing	437164
Missing (%)	80.0%
Memory size	4.2 MiB

-77	106842
not quoted	1855
quoted	782

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	-77
2nd row	-77
3rd row	-77
4th row	-77
5th row	-77

Common Values

Value	Count	Frequency (%)
-77	106842	19.5%
not quoted	1855	0.3%
quoted	782	0.1%
(Missing)	437164	80.0%

Common Values (Plot)

R_weg_velo
Categorical

IMBALANCE MISSING

Distinct	3
Distinct (%)	< 0.1%
Missing	437164
Missing (%)	80.0%
Memory size	4.2 MiB

-77	106842
not quoted	2499
quoted	138

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	-77
2nd row	-77
3rd row	-77
4th row	-77
5th row	-77

Common Values

Value	Count	Frequency (%)
-77	106842	19.5%
not quoted	2499	0.5%
quoted	138	< 0.1%
(Missing)	437164	80.0%

Common Values (Plot)

R_weg_WC
Categorical

IMBALANCE MISSING

Distinct	3
Distinct (%)	< 0.1%
Missing	437164
Missing (%)	80.0%
Memory size	4.2 MiB

-77	106842
not quoted	2160
quoted	477

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	-77
2nd row	-77
3rd row	-77
4th row	-77
5th row	-77

Common Values

Value	Count	Frequency (%)
-77	106842	19.5%
not quoted	2160	0.4%
quoted	477	0.1%
(Missing)	437164	80.0%

Common Values (Plot)

R_weg_zug
Categorical

IMBALANCE MISSING

Distinct	3
Distinct (%)	< 0.1%
Missing	437164
Missing (%)	80.0%
Memory size	4.2 MiB

-77	106842
not quoted	1339
quoted	1298

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	-77
2nd row	-77
3rd row	-77
4th row	-77
5th row	-77

Common Values

Value	Count	Frequency (%)
-77	106842	19.5%
not quoted	1339	0.2%
quoted	1298	0.2%
(Missing)	437164	80.0%

Common Values (Plot)

R_zweck
Categorical

Distinct	14
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	4.2 MiB

Freizeitfahrt ohne Übernachtung (Ausflug, Kino, Sport, Besuch, usw.)	115837
Freizeitfahrt/ private Ferienreise/ alltägliche Erledigungen (z.B. Arztbesuch, Einkaufen, jmd. Abhol	75943
Geschäftsreise	70060
Private Ferienreise (Reise mit mind. 1 Übernachtung)	69106
Freizeitfahrt/ private Ferienreise	67042
Other values (9)	148655

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Freizeitfahrt ohne Übernachtung (Ausflug, Kino, Sport, Besuch, usw.)
2nd row	Freizeitfahrt ohne Übernachtung (Ausflug, Kino, Sport, Besuch, usw.)
3rd row	Freizeitfahrt ohne Übernachtung (Ausflug, Kino, Sport, Besuch, usw.)
4th row	Private Ferienreise (Reise mit mind. 1 Übernachtung)
5th row	Freizeitfahrt ohne Übernachtung (Ausflug, Kino, Sport, Besuch, usw.)

Common Values

Value	Count	Frequency (%)
Freizeitfahrt ohne Übernachtung (Ausflug, Kino, Sport, Besuch, usw.)	115837	21.2%
Freizeitfahrt/ private Ferienreise/ alltägliche Erledigungen (z.B. Arztbesuch, Einkaufen, jmd. Abhol	75943	13.9%
Geschäftsreise	70060	12.8%
Private Ferienreise (Reise mit mind. 1 Übernachtung)	69106	12.6%
Freizeitfahrt/ private Ferienreise	67042	12.3%
Fahrt zum Arbeitsort	40771	7.5%
Fahrt vom oder zum Arbeits-/ Ausbildungsort	31849	5.8%
Alltägliche Erledigungen (z.B. Arztbesuch, Einkaufen, jmd. abholen)	26770	4.9%
Fahrt zum Ausbildungsort	20426	3.7%
alltägliche Erledigungen (z.B. Arztbesuch, Einkaufen, jmd. Abholen)	10300	1.9%
Other values (4)	18539	3.4%

RF_bhf_abfahrt
Categorical

IMBALANCE MISSING

Distinct	3
Distinct (%)	< 0.1%
Missing	437164
Missing (%)	80.0%
Memory size	4.2 MiB

-77	101223
quoted	5156
not quoted	3100

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	-77
2nd row	-77
3rd row	-77
4th row	-77
5th row	-77

Common Values

Value	Count	Frequency (%)
-77	101223	18.5%
quoted	5156	0.9%
not quoted	3100	0.6%
(Missing)	437164	80.0%

Common Values (Plot)

RF_bhf_andere
Categorical

IMBALANCE MISSING

Distinct	3
Distinct (%)	< 0.1%
Missing	437164
Missing (%)	80.0%
Memory size	4.2 MiB

-77	101223
not quoted	8074
quoted	182

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	-77
2nd row	-77
3rd row	-77
4th row	-77
5th row	-77

Common Values

Value	Count	Frequency (%)
-77	101223	18.5%
not quoted	8074	1.5%
quoted	182	< 0.1%
(Missing)	437164	80.0%

Common Values (Plot)

RF_bhf_perron
Categorical

IMBALANCE MISSING

Distinct	3
Distinct (%)	< 0.1%
Missing	437164
Missing (%)	80.0%
Memory size	4.2 MiB

-77	101223
quoted	6866
not quoted	1390

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	-77
2nd row	-77
3rd row	-77
4th row	-77
5th row	-77

Common Values

Value	Count	Frequency (%)
-77	101223	18.5%
quoted	6866	1.3%
not quoted	1390	0.3%
(Missing)	437164	80.0%

Common Values (Plot)

RF_bhf_touch
Categorical

IMBALANCE MISSING

Distinct	3
Distinct (%)	< 0.1%
Missing	437164
Missing (%)	80.0%
Memory size	4.2 MiB

-77	101223
not quoted	8055
quoted	201

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	-77
2nd row	-77
3rd row	-77
4th row	-77
5th row	-77

Common Values

Value	Count	Frequency (%)
-77	101223	18.5%
not quoted	8055	1.5%
quoted	201	< 0.1%
(Missing)	437164	80.0%

Common Values (Plot)

RF_kanal_1
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	299312
Missing (%)	54.8%
Memory size	4.2 MiB

quoted	146853
not quoted	56209
-77	44269

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	quoted
2nd row	quoted
3rd row	not quoted
4th row	quoted
5th row	quoted

Common Values

Value	Count	Frequency (%)
quoted	146853	26.9%
not quoted	56209	10.3%
-77	44269	8.1%
(Missing)	299312	54.8%

Common Values (Plot)

RF_kanal_12
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	299312
Missing (%)	54.8%
Memory size	4.2 MiB

not quoted	172284
-77	44269
quoted	30778

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	not quoted
2nd row	not quoted
3rd row	not quoted
4th row	not quoted
5th row	not quoted

Common Values

Value	Count	Frequency (%)
not quoted	172284	31.5%
-77	44269	8.1%
quoted	30778	5.6%
(Missing)	299312	54.8%

Common Values (Plot)

RF_kanal_13
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	299312
Missing (%)	54.8%
Memory size	4.2 MiB

not quoted	168380
-77	44269
quoted	34682

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	not quoted
2nd row	not quoted
3rd row	not quoted
4th row	not quoted
5th row	not quoted

Common Values

Value	Count	Frequency (%)
not quoted	168380	30.8%
-77	44269	8.1%
quoted	34682	6.3%
(Missing)	299312	54.8%

Common Values (Plot)

RF_kanal_14
Categorical

IMBALANCE MISSING

Distinct	3
Distinct (%)	< 0.1%
Missing	299312
Missing (%)	54.8%
Memory size	4.2 MiB

not quoted	199954
-77	44269
quoted	3108

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	not quoted
2nd row	not quoted
3rd row	not quoted
4th row	not quoted
5th row	not quoted

Common Values

Value	Count	Frequency (%)
not quoted	199954	36.6%
-77	44269	8.1%
quoted	3108	0.6%
(Missing)	299312	54.8%

Common Values (Plot)

RF_kanal_15
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	437164
Missing (%)	80.0%
Memory size	4.2 MiB

not quoted	61345
-77	38322
quoted	9812

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	not quoted
2nd row	not quoted
3rd row	-77
4th row	not quoted
5th row	not quoted

Common Values

Value	Count	Frequency (%)
not quoted	61345	11.2%
-77	38322	7.0%
quoted	9812	1.8%
(Missing)	437164	80.0%

Common Values (Plot)

RF_kanal_2
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	299312
Missing (%)	54.8%
Memory size	4.2 MiB

not quoted	183542
-77	44269
quoted	19520

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	not quoted
2nd row	not quoted
3rd row	quoted
4th row	not quoted
5th row	not quoted

Common Values

Value	Count	Frequency (%)
not quoted	183542	33.6%
-77	44269	8.1%
quoted	19520	3.6%
(Missing)	299312	54.8%

Common Values (Plot)

RF_kanal_4
Categorical

IMBALANCE MISSING

Distinct	3
Distinct (%)	< 0.1%
Missing	408792
Missing (%)	74.8%
Memory size	4.2 MiB

not quoted	124021
quoted	7883
-77	5947

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	not quoted
2nd row	not quoted
3rd row	not quoted
4th row	not quoted
5th row	not quoted

Common Values

Value	Count	Frequency (%)
not quoted	124021	22.7%
quoted	7883	1.4%
-77	5947	1.1%
(Missing)	408792	74.8%

Common Values (Plot)

RF_kanal_6
Categorical

IMBALANCE MISSING

Distinct	3
Distinct (%)	< 0.1%
Missing	299312
Missing (%)	54.8%
Memory size	4.2 MiB

not quoted	200864
-77	44269
quoted	2198

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	not quoted
2nd row	not quoted
3rd row	not quoted
4th row	not quoted
5th row	not quoted

Common Values

Value	Count	Frequency (%)
not quoted	200864	36.7%
-77	44269	8.1%
quoted	2198	0.4%
(Missing)	299312	54.8%

Common Values (Plot)

RF_kanal_7
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	299312
Missing (%)	54.8%
Memory size	4.2 MiB

not quoted	183772
-77	44269
quoted	19290

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	not quoted
2nd row	not quoted
3rd row	not quoted
4th row	not quoted
5th row	not quoted

Common Values

Value	Count	Frequency (%)
not quoted	183772	33.6%
-77	44269	8.1%
quoted	19290	3.5%
(Missing)	299312	54.8%

Common Values (Plot)

RF_kanal_8
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	299312
Missing (%)	54.8%
Memory size	4.2 MiB

not quoted	149530
quoted	53532
-77	44269

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	not quoted
2nd row	quoted
3rd row	not quoted
4th row	not quoted
5th row	not quoted

Common Values

Value	Count	Frequency (%)
not quoted	149530	27.4%
quoted	53532	9.8%
-77	44269	8.1%
(Missing)	299312	54.8%

Common Values (Plot)

RF_kanal_keiner
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	299312
Missing (%)	54.8%
Memory size	4.2 MiB

not quoted	181639
-77	44269
quoted	21423

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	not quoted
2nd row	not quoted
3rd row	not quoted
4th row	not quoted
5th row	not quoted

Common Values

Value	Count	Frequency (%)
not quoted	181639	33.2%
-77	44269	8.1%
quoted	21423	3.9%
(Missing)	299312	54.8%

Common Values (Plot)

RF_kanal_other
Categorical

IMBALANCE MISSING

Distinct	3
Distinct (%)	< 0.1%
Missing	299312
Missing (%)	54.8%
Memory size	4.2 MiB

not quoted	200172
-77	44269
quoted	2890

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	not quoted
2nd row	not quoted
3rd row	not quoted
4th row	not quoted
5th row	not quoted

Common Values

Value	Count	Frequency (%)
not quoted	200172	36.6%
-77	44269	8.1%
quoted	2890	0.5%
(Missing)	299312	54.8%

Common Values (Plot)

RF_kanal_other_txt
Categorical

HIGH CARDINALITY IMBALANCE MISSING

Distinct	2299
Distinct (%)	0.9%
Missing	299312
Missing (%)	54.8%
Memory size	4.2 MiB

-66	244441
Google maps	93
Google Maps	84
google maps	36
ZVV App	25
Other values (2294)	2652

Overview
Categories

Unique

Unique	2169 ?
Unique (%)	0.9%

Sample

1st row	-66
2nd row	-66
3rd row	-66
4th row	-66
5th row	-66

Common Values

Value	Count	Frequency (%)
-66	244441	44.7%
Google maps	93	< 0.1%
Google Maps	84	< 0.1%
google maps	36	< 0.1%
ZVV App	25	< 0.1%
Google	17	< 0.1%
Internet	16	< 0.1%
Google map	14	< 0.1%
DB App	12	< 0.1%
Anzeige im Bus	11	< 0.1%
Other values (2289)	2582	0.5%
(Missing)	299312	54.8%

RF_mob_andere
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	437164
Missing (%)	80.0%
Memory size	4.2 MiB

-77	74670
not quoted	34065
quoted	744

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	not quoted
2nd row	not quoted
3rd row	-77
4th row	-77
5th row	not quoted

Common Values

Value	Count	Frequency (%)
-77	74670	13.7%
not quoted	34065	6.2%
quoted	744	0.1%
(Missing)	437164	80.0%

Common Values (Plot)

RF_mob_andere_txt
Categorical

HIGH CARDINALITY IMBALANCE MISSING

Distinct	483
Distinct (%)	0.4%
Missing	437164
Missing (%)	80.0%
Memory size	4.2 MiB

-66	108735
Fahrplan	39
Easy Ride	24
EasyRide	16
Easy ride	15
Other values (478)	650

Overview
Categories

Unique

Unique	422 ?
Unique (%)	0.4%

Sample

1st row	-66
2nd row	-66
3rd row	-66
4th row	-66
5th row	-66

Common Values

Value	Count	Frequency (%)
-66	108735	19.9%
Fahrplan	39	< 0.1%
Easy Ride	24	< 0.1%
EasyRide	16	< 0.1%
Easy ride	15	< 0.1%
Ticketkauf	15	< 0.1%
Achat billet	12	< 0.1%
Achat du billet	11	< 0.1%
easy ride	10	< 0.1%
Billetkauf	8	< 0.1%
Other values (473)	594	0.1%
(Missing)	437164	80.0%

RF_mob_autom
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	437164
Missing (%)	80.0%
Memory size	4.2 MiB

-77	74670
not quoted	29348
quoted	5461

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	not quoted
2nd row	not quoted
3rd row	-77
4th row	-77
5th row	not quoted

Common Values

Value	Count	Frequency (%)
-77	74670	13.7%
not quoted	29348	5.4%
quoted	5461	1.0%
(Missing)	437164	80.0%

Common Values (Plot)

RF_mob_fahrplan
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	437164
Missing (%)	80.0%
Memory size	4.2 MiB

-77	74670
quoted	32337
not quoted	2472

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	quoted
2nd row	quoted
3rd row	-77
4th row	-77
5th row	quoted

Common Values

Value	Count	Frequency (%)
-77	74670	13.7%
quoted	32337	5.9%
not quoted	2472	0.5%
(Missing)	437164	80.0%

Common Values (Plot)

RF_mob_karte
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	437164
Missing (%)	80.0%
Memory size	4.2 MiB

-77	74670
not quoted	33293
quoted	1516

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	not quoted
2nd row	not quoted
3rd row	-77
4th row	-77
5th row	not quoted

Common Values

Value	Count	Frequency (%)
-77	74670	13.7%
not quoted	33293	6.1%
quoted	1516	0.3%
(Missing)	437164	80.0%

Common Values (Plot)

RF_webs_andere
Categorical

IMBALANCE MISSING

Distinct	3
Distinct (%)	< 0.1%
Missing	437164
Missing (%)	80.0%
Memory size	4.2 MiB

-77	106486
not quoted	2920
quoted	73

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	-77
2nd row	-77
3rd row	-77
4th row	not quoted
5th row	-77

Common Values

Value	Count	Frequency (%)
-77	106486	19.5%
not quoted	2920	0.5%
quoted	73	< 0.1%
(Missing)	437164	80.0%

Common Values (Plot)

RF_webs_andere_txt
Categorical

HIGH CARDINALITY IMBALANCE MISSING

Distinct	72
Distinct (%)	0.1%
Missing	437164
Missing (%)	80.0%
Memory size	4.2 MiB

-66	109406
Achat du billet	2
Ticket	2
Buy tickets	1
SBB App	1
Other values (67)	67

Overview
Categories

Unique

Unique	69 ?
Unique (%)	0.1%

Sample

1st row	-66
2nd row	-66
3rd row	-66
4th row	-66
5th row	-66

Common Values

Value	Count	Frequency (%)
-66	109406	20.0%
Achat du billet	2	< 0.1%
Ticket	2	< 0.1%
Buy tickets	1	< 0.1%
SBB App	1	< 0.1%
Réservation billet	1	< 0.1%
den abnormalen Zustand im Bahnhof Liestal / vor Antritt der Reise vor Ort informiert, um die Weiterfahrt mit dem Bus rechtzeitig zu finden.	1	< 0.1%
Every stop	1	< 0.1%
Gruppenreise	1	< 0.1%
Easy-ride	1	< 0.1%
Other values (62)	62	< 0.1%
(Missing)	437164	80.0%

RF_webs_erwsuche
Categorical

IMBALANCE MISSING

Distinct	3
Distinct (%)	< 0.1%
Missing	437164
Missing (%)	80.0%
Memory size	4.2 MiB

-77	106486
not quoted	2637
quoted	356

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	-77
2nd row	-77
3rd row	-77
4th row	not quoted
5th row	-77

Common Values

Value	Count	Frequency (%)
-77	106486	19.5%
not quoted	2637	0.5%
quoted	356	0.1%
(Missing)	437164	80.0%

Common Values (Plot)

RF_webs_fahrplan
Categorical

IMBALANCE MISSING

Distinct	3
Distinct (%)	< 0.1%
Missing	437164
Missing (%)	80.0%
Memory size	4.2 MiB

-77	106486
quoted	2802
not quoted	191

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	-77
2nd row	-77
3rd row	-77
4th row	quoted
5th row	-77

Common Values

Value	Count	Frequency (%)
-77	106486	19.5%
quoted	2802	0.5%
not quoted	191	< 0.1%
(Missing)	437164	80.0%

Common Values (Plot)

RF_webs_karte
Categorical

IMBALANCE MISSING

Distinct	3
Distinct (%)	< 0.1%
Missing	437164
Missing (%)	80.0%
Memory size	4.2 MiB

-77	106486
not quoted	2856
quoted	137

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	-77
2nd row	-77
3rd row	-77
4th row	not quoted
5th row	-77

Common Values

Value	Count	Frequency (%)
-77	106486	19.5%
not quoted	2856	0.5%
quoted	137	< 0.1%
(Missing)	437164	80.0%

Common Values (Plot)

RF_Zufallsitem1
Categorical

Distinct	21
Distinct (%)	< 0.1%
Missing	227748
Missing (%)	41.7%
Memory size	4.2 MiB

SBB Mobile App	114011
-66	52035
1	34853
-77	21480
Anzeigen am Bahnhof (z.B. Abfahrtsanzeigen, Monitore)	21210
Other values (16)	75306

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	SBB Mobile App
2nd row	Webseite sbb.ch
3rd row	SBB Mobile App
4th row	SBB Mobile App
5th row	SBB Mobile App

Common Values

Value	Count	Frequency (%)
SBB Mobile App	114011	20.9%
-66	52035	9.5%
1	34853	6.4%
-77	21480	3.9%
Anzeigen am Bahnhof (z.B. Abfahrtsanzeigen, Monitore)	21210	3.9%
Webseite sbb.ch	19395	3.5%
Anzeigen im Zug	9127	1.7%
6	8262	1.5%
Durchsagen im Zug	7802	1.4%
8	5971	1.1%
Other values (11)	24749	4.5%
(Missing)	227748	41.7%

RF_zufallsitem1_label
Categorical

HIGH CARDINALITY IMBALANCE MISSING

Distinct	696
Distinct (%)	0.3%
Missing	301740
Missing (%)	55.2%
Memory size	4.2 MiB

-66	66157
SBB Mobile App	50260
SBB Mobile App (Smartphone)	28903
Anzeigen am Bahnhof (z.B. Abfahrtsanzeigen, Monitore)	14980
Appli Mobile CFF	10510
Other values (691)	74093

Overview
Categories

Unique

Unique	599 ?
Unique (%)	0.2%

Sample

1st row	SBB Mobile App (Smartphone)
2nd row	Annonces dans le train
3rd row	Appli Mobile CFF (smartphone)
4th row	Anzeigen am Bahnhof (z.B. Abfahrtsanzeigen, Monitore)
5th row	SBB Mobile App (Smartphone)

Common Values

Value	Count	Frequency (%)
-66	66157	12.1%
SBB Mobile App	50260	9.2%
SBB Mobile App (Smartphone)	28903	5.3%
Anzeigen am Bahnhof (z.B. Abfahrtsanzeigen, Monitore)	14980	2.7%
Appli Mobile CFF	10510	1.9%
Anzeigen im Zug	9300	1.7%
Webseite sbb.ch	7967	1.5%
Durchsagen im Zug	7616	1.4%
Appli Mobile CFF (smartphone)	5971	1.1%
Affichages en gare (p. ex. affichages des départs, écrans d’affichage)	5177	0.9%
Other values (686)	38062	7.0%
(Missing)	301740	55.2%

S_AB1_GA2kl
Categorical

IMBALANCE MISSING

Distinct	3
Distinct (%)	< 0.1%
Missing	218263
Missing (%)	39.9%
Memory size	4.2 MiB

not quoted	290685
-77	28826
quoted	8869

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	not quoted
2nd row	not quoted
3rd row	not quoted
4th row	not quoted
5th row	not quoted

Common Values

Value	Count	Frequency (%)
not quoted	290685	53.2%
-77	28826	5.3%
quoted	8869	1.6%
(Missing)	218263	39.9%

Common Values (Plot)

S_AB2_GA
Categorical

IMBALANCE MISSING

Distinct	3
Distinct (%)	< 0.1%
Missing	328380
Missing (%)	60.1%
Memory size	4.2 MiB

nicht genannt	185289
genannt	24693
-77	8281

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	nicht genannt
2nd row	nicht genannt
3rd row	genannt
4th row	nicht genannt
5th row	nicht genannt

Common Values

Value	Count	Frequency (%)
nicht genannt	185289	33.9%
genannt	24693	4.5%
-77	8281	1.5%
(Missing)	328380	60.1%

Common Values (Plot)

S_AB2_GA1kl
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	218263
Missing (%)	39.9%
Memory size	4.2 MiB

-77	178285
nicht genannt	149621
genannt	474

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	nicht genannt
2nd row	nicht genannt
3rd row	nicht genannt
4th row	nicht genannt
5th row	nicht genannt

Common Values

Value	Count	Frequency (%)
-77	178285	32.6%
nicht genannt	149621	27.4%
genannt	474	0.1%
(Missing)	218263	39.9%

Common Values (Plot)

S_AB3_HTA
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	4.2 MiB

quoted	417778
not quoted	91758
-77	37107

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	quoted
2nd row	quoted
3rd row	quoted
4th row	quoted
5th row	quoted

Common Values

Value	Count	Frequency (%)
quoted	417778	76.4%
not quoted	91758	16.8%
-77	37107	6.8%

Common Values (Plot)

S_AB4
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	4.2 MiB

nicht genannt	491998
-77	37107
genannt	17538

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	nicht genannt
2nd row	nicht genannt
3rd row	nicht genannt
4th row	nicht genannt
5th row	nicht genannt

Common Values

Value	Count	Frequency (%)
nicht genannt	491998	90.0%
-77	37107	6.8%
genannt	17538	3.2%

Common Values (Plot)

S_AB5
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	4.2 MiB

nicht genannt	463807
genannt	45729
-77	37107

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	nicht genannt
2nd row	nicht genannt
3rd row	nicht genannt
4th row	genannt
5th row	nicht genannt

Common Values

Value	Count	Frequency (%)
nicht genannt	463807	84.8%
genannt	45729	8.4%
-77	37107	6.8%

Common Values (Plot)

S_AB6
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	4.2 MiB

-77	503730
nicht genannt	38036
genannt	4877

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	-77
2nd row	-77
3rd row	-77
4th row	-77
5th row	-77

Common Values

Value	Count	Frequency (%)
-77	503730	92.1%
nicht genannt	38036	7.0%
genannt	4877	0.9%

Common Values (Plot)

S_AB7
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	4.2 MiB

nicht genannt	494327
-77	37107
genannt	15209

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	nicht genannt
2nd row	nicht genannt
3rd row	nicht genannt
4th row	nicht genannt
5th row	nicht genannt

Common Values

Value	Count	Frequency (%)
nicht genannt	494327	90.4%
-77	37107	6.8%
genannt	15209	2.8%

Common Values (Plot)

S_AB7txt
Categorical

HIGH CARDINALITY IMBALANCE

Distinct	4849
Distinct (%)	0.9%
Missing	0
Missing (%)	0.0%
Memory size	4.2 MiB

-66	386646
-99	145837
Juniorkarte	2995
Juniorkarten	580
Carte junior	263
Other values (4844)	10322

Overview
Categories

Unique

Unique	4155 ?
Unique (%)	0.8%

Sample

1st row	-66
2nd row	-66
3rd row	-66
4th row	-66
5th row	-66

Common Values

Value	Count	Frequency (%)
-66	386646	70.7%
-99	145837	26.7%
Juniorkarte	2995	0.5%
Juniorkarten	580	0.1%
Carte junior	263	< 0.1%
Junior	261	< 0.1%
Enkelkarte	240	< 0.1%
juniorkarte	176	< 0.1%
FVP-GA	151	< 0.1%
Velo GA	150	< 0.1%
Other values (4839)	9344	1.7%

S_AB8
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	4.2 MiB

nicht genannt	463044
genannt	46492
-77	37107

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	nicht genannt
2nd row	nicht genannt
3rd row	nicht genannt
4th row	nicht genannt
5th row	nicht genannt

Common Values

Value	Count	Frequency (%)
nicht genannt	463044	84.7%
genannt	46492	8.5%
-77	37107	6.8%

Common Values (Plot)

S_alter
Categorical

Distinct	91
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	4.2 MiB

-66	45666
50	14218
55	13140
60	12242
52	12069
Other values (86)	449308

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	-66
2nd row	-66
3rd row	-66
4th row	-66
5th row	-66

Common Values

Value	Count	Frequency (%)
-66	45666	8.4%
50	14218	2.6%
55	13140	2.4%
60	12242	2.2%
52	12069	2.2%
53	11609	2.1%
54	11424	2.1%
56	11411	2.1%
57	11257	2.1%
58	11089	2.0%
Other values (81)	392518	71.8%

S_berufstaetigkeit
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	367363
Missing (%)	67.2%
Memory size	4.2 MiB

ja	115372
nein	56539
-77	7369

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	nein
2nd row	nein
3rd row	ja
4th row	ja
5th row	nein

Common Values

Value	Count	Frequency (%)
ja	115372	21.1%
nein	56539	10.3%
-77	7369	1.3%
(Missing)	367363	67.2%

Common Values (Plot)

S_sex
Categorical

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	4.2 MiB

weiblich	277987
männlich	259366
-77	8280
divers	1007
0	3

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	weiblich
2nd row	weiblich
3rd row	weiblich
4th row	weiblich
5th row	männlich

Common Values

Value	Count	Frequency (%)
weiblich	277987	50.9%
männlich	259366	47.4%
-77	8280	1.5%
divers	1007	0.2%
0	3	< 0.1%

Common Values (Plot)

S_sprache
Categorical

Distinct	6
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	4.2 MiB

Deutsch	393335
Français	101553
English	31504
Italiano	20229
0	21

Overview
Categories

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	Deutsch
2nd row	Deutsch
3rd row	Français
4th row	Deutsch
5th row	Deutsch

Common Values

Value	Count	Frequency (%)
Deutsch	393335	72.0%
Français	101553	18.6%
English	31504	5.8%
Italiano	20229	3.7%
0	21	< 0.1%
-77	1	< 0.1%

Common Values (Plot)

S_Usertyp1
Categorical

Distinct	8
Distinct (%)	< 0.1%
Missing	367363
Missing (%)	67.2%
Memory size	4.2 MiB

-77	63882
mehrmals pro Woche	26080
nie	23972
3-12mal jährlich	19919
(fast) täglich	19041
Other values (3)	26386

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	-77
2nd row	-77
3rd row	2-5mal pro Monat
4th row	nie
5th row	-77

Common Values

Value	Count	Frequency (%)
-77	63882	11.7%
mehrmals pro Woche	26080	4.8%
nie	23972	4.4%
3-12mal jährlich	19919	3.6%
(fast) täglich	19041	3.5%
2-5mal pro Monat	18449	3.4%
1-2mal jährlich	7933	1.5%
0	4	< 0.1%
(Missing)	367363	67.2%

Common Values (Plot)

S_Usertyp2
Categorical

Distinct	7
Distinct (%)	< 0.1%
Missing	367363
Missing (%)	67.2%
Memory size	4.2 MiB

-77	122738
2-5mal pro Monat	22380
3-12mal jährlich	20062
mehrmals pro Woche	10761
(fast) täglich	1887
Other values (2)	1452

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	nie
2nd row	3-12mal jährlich
3rd row	-77
4th row	-77
5th row	1-2mal jährlich

Common Values

Value	Count	Frequency (%)
-77	122738	22.5%
2-5mal pro Monat	22380	4.1%
3-12mal jährlich	20062	3.7%
mehrmals pro Woche	10761	2.0%
(fast) täglich	1887	0.3%
1-2mal jährlich	1240	0.2%
nie	212	< 0.1%
(Missing)	367363	67.2%

Common Values (Plot)

S_wohnsitz
Categorical

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	4.2 MiB

In der Schweiz / Liechtenstein	512542
In einem anderen Land	25820
-77	8280
0	1

Overview
Categories

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	In der Schweiz / Liechtenstein
2nd row	In der Schweiz / Liechtenstein
3rd row	In der Schweiz / Liechtenstein
4th row	In der Schweiz / Liechtenstein
5th row	In der Schweiz / Liechtenstein

Common Values

Value	Count	Frequency (%)
In der Schweiz / Liechtenstein	512542	93.8%
In einem anderen Land	25820	4.7%
-77	8280	1.5%
0	1	< 0.1%

Common Values (Plot)

S_Usertyp3
Categorical

Distinct	8
Distinct (%)	< 0.1%
Missing	367363
Missing (%)	67.2%
Memory size	4.2 MiB

-77	63906
2-5mal pro Monat	42729
3-12mal jährlich	42595
mehrmals pro Woche	15607
1-2mal jährlich	6623
Other values (3)	7820

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	-77
2nd row	-77
3rd row	2-5mal pro Monat
4th row	1-2mal jährlich
5th row	-77

Common Values

Value	Count	Frequency (%)
-77	63906	11.7%
2-5mal pro Monat	42729	7.8%
3-12mal jährlich	42595	7.8%
mehrmals pro Woche	15607	2.9%
1-2mal jährlich	6623	1.2%
nie	4209	0.8%
(fast) täglich	3609	0.7%
0	2	< 0.1%
(Missing)	367363	67.2%

Common Values (Plot)

SF_kanal_1_zuf
Categorical

IMBALANCE MISSING

Distinct	12
Distinct (%)	< 0.1%
Missing	179285
Missing (%)	32.8%
Memory size	4.2 MiB

-77	361159
10	1519
8	1005
9	782
7	657
Other values (7)	2236

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	-77
2nd row	-77
3rd row	-77
4th row	-77
5th row	-77

Common Values

Value	Count	Frequency (%)
-77	361159	66.1%
10	1519	0.3%
8	1005	0.2%
9	782	0.1%
7	657	0.1%
5	652	0.1%
6	429	0.1%
4	394	0.1%
3	305	0.1%
1	233	< 0.1%
Other values (2)	223	< 0.1%
(Missing)	179285	32.8%

SF_kanal_12_zuf
Categorical

IMBALANCE MISSING

Distinct	12
Distinct (%)	< 0.1%
Missing	179285
Missing (%)	32.8%
Memory size	4.2 MiB

-77	354829
10	2762
8	2116
9	1387
5	1316
Other values (7)	4948

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	-77
2nd row	-77
3rd row	-77
4th row	-77
5th row	-77

Common Values

Value	Count	Frequency (%)
-77	354829	64.9%
10	2762	0.5%
8	2116	0.4%
9	1387	0.3%
5	1316	0.2%
7	1300	0.2%
6	873	0.2%
4	779	0.1%
1	755	0.1%
3	715	0.1%
Other values (2)	526	0.1%
(Missing)	179285	32.8%

SF_kanal_13_zuf
Categorical

IMBALANCE MISSING

Distinct	12
Distinct (%)	< 0.1%
Missing	179285
Missing (%)	32.8%
Memory size	4.2 MiB

-77	366150
10	229
8	173
9	141
5	128
Other values (7)	537

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	-77
2nd row	-77
3rd row	-77
4th row	-77
5th row	-77

Common Values

Value	Count	Frequency (%)
-77	366150	67.0%
10	229	< 0.1%
8	173	< 0.1%
9	141	< 0.1%
5	128	< 0.1%
7	119	< 0.1%
4	94	< 0.1%
6	86	< 0.1%
1	84	< 0.1%
3	76	< 0.1%
Other values (2)	78	< 0.1%
(Missing)	179285	32.8%

SF_kanal_14_zuf
Categorical

IMBALANCE MISSING

Distinct	12
Distinct (%)	< 0.1%
Missing	179285
Missing (%)	32.8%
Memory size	4.2 MiB

-77	365325
10	608
8	304
9	231
5	189
Other values (7)	701

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	-77
2nd row	-77
3rd row	-77
4th row	-77
5th row	-77

Common Values

Value	Count	Frequency (%)
-77	365325	66.8%
10	608	0.1%
8	304	0.1%
9	231	< 0.1%
5	189	< 0.1%
7	169	< 0.1%
1	122	< 0.1%
6	117	< 0.1%
4	93	< 0.1%
3	90	< 0.1%
Other values (2)	110	< 0.1%
(Missing)	179285	32.8%

SF_kanal_2_zuf
Categorical

IMBALANCE MISSING

Distinct	12
Distinct (%)	< 0.1%
Missing	179285
Missing (%)	32.8%
Memory size	4.2 MiB

-77	366827
10	122
9	86
8	85
7	59
Other values (7)	179

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	-77
2nd row	-77
3rd row	-77
4th row	-77
5th row	-77

Common Values

Value	Count	Frequency (%)
-77	366827	67.1%
10	122	< 0.1%
9	86	< 0.1%
8	85	< 0.1%
7	59	< 0.1%
5	50	< 0.1%
6	36	< 0.1%
3	25	< 0.1%
4	23	< 0.1%
1	18	< 0.1%
Other values (2)	27	< 0.1%
(Missing)	179285	32.8%

SF_kanal_4_zuf
Categorical

IMBALANCE MISSING

Distinct	12
Distinct (%)	< 0.1%
Missing	179285
Missing (%)	32.8%
Memory size	4.2 MiB

-77	366580
10	228
8	96
5	92
9	90
Other values (7)	272

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	-77
2nd row	-77
3rd row	-77
4th row	-77
5th row	-77

Common Values

Value	Count	Frequency (%)
-77	366580	67.1%
10	228	< 0.1%
8	96	< 0.1%
5	92	< 0.1%
9	90	< 0.1%
7	82	< 0.1%
4	50	< 0.1%
weiss nicht	38	< 0.1%
6	36	< 0.1%
3	26	< 0.1%
Other values (2)	40	< 0.1%
(Missing)	179285	32.8%

SF_kanal_6_zuf
Categorical

IMBALANCE MISSING

Distinct	12
Distinct (%)	< 0.1%
Missing	179285
Missing (%)	32.8%
Memory size	4.2 MiB

-77	366748
10	166
5	74
9	69
8	61
Other values (7)	240

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	-77
2nd row	-77
3rd row	-77
4th row	-77
5th row	-77

Common Values

Value	Count	Frequency (%)
-77	366748	67.1%
10	166	< 0.1%
5	74	< 0.1%
9	69	< 0.1%
8	61	< 0.1%
7	48	< 0.1%
1	46	< 0.1%
6	38	< 0.1%
3	34	< 0.1%
weiss nicht	26	< 0.1%
Other values (2)	48	< 0.1%
(Missing)	179285	32.8%

SF_kanal_7_zuf
Categorical

IMBALANCE MISSING

Distinct	12
Distinct (%)	< 0.1%
Missing	179285
Missing (%)	32.8%
Memory size	4.2 MiB

-77	359252
10	1766
8	1347
5	934
9	899
Other values (7)	3160

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	-77
2nd row	-77
3rd row	-77
4th row	-77
5th row	-77

Common Values

Value	Count	Frequency (%)
-77	359252	65.7%
10	1766	0.3%
8	1347	0.2%
5	934	0.2%
9	899	0.2%
7	853	0.2%
6	585	0.1%
4	479	0.1%
1	464	0.1%
3	422	0.1%
Other values (2)	357	0.1%
(Missing)	179285	32.8%

SF_kanal_8_zuf
Categorical

IMBALANCE MISSING

Distinct	12
Distinct (%)	< 0.1%
Missing	179285
Missing (%)	32.8%
Memory size	4.2 MiB

-77	358641
10	2096
8	1576
9	1028
7	972
Other values (7)	3045

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	-77
2nd row	-77
3rd row	-77
4th row	-77
5th row	-77

Common Values

Value	Count	Frequency (%)
-77	358641	65.6%
10	2096	0.4%
8	1576	0.3%
9	1028	0.2%
7	972	0.2%
5	888	0.2%
6	580	0.1%
4	467	0.1%
1	427	0.1%
3	382	0.1%
Other values (2)	301	0.1%
(Missing)	179285	32.8%

SF_kanal_other_zuf
Categorical

IMBALANCE MISSING

Distinct	13
Distinct (%)	< 0.1%
Missing	179285
Missing (%)	32.8%
Memory size	4.2 MiB

-77	365333
1	589
weiss nicht	268
10	234
5	170
Other values (8)	764

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	-77
2nd row	-77
3rd row	-77
4th row	-77
5th row	-77

Common Values

Value	Count	Frequency (%)
-77	365333	66.8%
1	589	0.1%
weiss nicht	268	< 0.1%
10	234	< 0.1%
5	170	< 0.1%
8	149	< 0.1%
3	131	< 0.1%
2	112	< 0.1%
7	108	< 0.1%
6	92	< 0.1%
Other values (3)	172	< 0.1%
(Missing)	179285	32.8%

RF_kanal_1_Zuf
Categorical

Distinct	12
Distinct (%)	< 0.1%
Missing	463585
Missing (%)	84.8%
Memory size	4.2 MiB

5	52001
4	15297
10	4460
3	3008
weiss nicht	2511
Other values (7)	5781

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	10
2nd row	8
3rd row	10
4th row	10
5th row	9

Common Values

Value	Count	Frequency (%)
5	52001	9.5%
4	15297	2.8%
10	4460	0.8%
3	3008	0.6%
weiss nicht	2511	0.5%
9	1823	0.3%
8	1387	0.3%
2	914	0.2%
1	798	0.1%
7	613	0.1%
Other values (2)	246	< 0.1%
(Missing)	463585	84.8%

RF_kanal_2_Zuf
Categorical

Distinct	12
Distinct (%)	0.1%
Missing	537352
Missing (%)	98.3%
Memory size	4.2 MiB

5	4882
4	1776
10	714
3	467
weiss nicht	386
Other values (7)	1066

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	10
2nd row	10
3rd row	10
4th row	10
5th row	8

Common Values

Value	Count	Frequency (%)
5	4882	0.9%
4	1776	0.3%
10	714	0.1%
3	467	0.1%
weiss nicht	386	0.1%
9	346	0.1%
8	277	0.1%
2	150	< 0.1%
7	116	< 0.1%
1	114	< 0.1%
Other values (2)	63	< 0.1%
(Missing)	537352	98.3%

RF_kanal_4_Zuf
Categorical

Distinct	11
Distinct (%)	0.4%
Missing	543761
Missing (%)	99.5%
Memory size	4.2 MiB

5	1564
4	581
10	167
3	157
weiss nicht	141
Other values (6)	272

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	10
2nd row	10
3rd row	7
4th row	10
5th row	3

Common Values

Value	Count	Frequency (%)
5	1564	0.3%
4	581	0.1%
10	167	< 0.1%
3	157	< 0.1%
weiss nicht	141	< 0.1%
9	71	< 0.1%
8	66	< 0.1%
2	51	< 0.1%
1	39	< 0.1%
7	34	< 0.1%
(Missing)	543761	99.5%

RF_kanal_6_Zuf
Categorical

Distinct	12
Distinct (%)	1.7%
Missing	545920
Missing (%)	99.9%
Memory size	4.2 MiB

5	373
4	120
weiss nicht	59
3	41
1	40
Other values (7)	90

Overview
Categories

Unique

Unique	1 ?
Unique (%)	0.1%

Sample

1st row	9
2nd row	10
3rd row	5
4th row	10
5th row	10

Common Values

Value	Count	Frequency (%)
5	373	0.1%
4	120	< 0.1%
weiss nicht	59	< 0.1%
3	41	< 0.1%
1	40	< 0.1%
10	34	< 0.1%
2	26	< 0.1%
9	17	< 0.1%
8	5	< 0.1%
7	4	< 0.1%
Other values (2)	4	< 0.1%
(Missing)	545920	99.9%

RF_kanal_7_Zuf
Categorical

Distinct	12
Distinct (%)	0.2%
Missing	541656
Missing (%)	99.1%
Memory size	4.2 MiB

5	2482
4	1364
3	390
weiss nicht	241
2	113
Other values (7)	397

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	8
2nd row	8
3rd row	9
4th row	6
5th row	7

Common Values

Value	Count	Frequency (%)
5	2482	0.5%
4	1364	0.2%
3	390	0.1%
weiss nicht	241	< 0.1%
2	113	< 0.1%
1	112	< 0.1%
10	95	< 0.1%
8	60	< 0.1%
9	49	< 0.1%
7	48	< 0.1%
Other values (2)	33	< 0.1%
(Missing)	541656	99.1%

RF_kanal_8_Zuf
Categorical

IMBALANCE MISSING

Distinct	14
Distinct (%)	0.1%
Missing	528956
Missing (%)	96.8%
Memory size	4.2 MiB

5	10630
4	4056
3	747
10	669
weiss nicht	359
Other values (9)	1226

Overview
Categories

Unique

Unique	2 ?
Unique (%)	< 0.1%

Sample

1st row	8
2nd row	8
3rd row	10
4th row	10
5th row	8

Common Values

Value	Count	Frequency (%)
5	10630	1.9%
4	4056	0.7%
3	747	0.1%
10	669	0.1%
weiss nicht	359	0.1%
9	311	0.1%
8	305	0.1%
2	249	< 0.1%
1	170	< 0.1%
7	132	< 0.1%
Other values (4)	59	< 0.1%
(Missing)	528956	96.8%

RF_kanal_12_Zuf
Categorical

Distinct	12
Distinct (%)	0.1%
Missing	537123
Missing (%)	98.3%
Memory size	4.2 MiB

5	5319
4	2565
3	578
weiss nicht	384
10	175
Other values (7)	499

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	10
2nd row	8
3rd row	7
4th row	8
5th row	10

Common Values

Value	Count	Frequency (%)
5	5319	1.0%
4	2565	0.5%
3	578	0.1%
weiss nicht	384	0.1%
10	175	< 0.1%
2	169	< 0.1%
8	94	< 0.1%
1	91	< 0.1%
9	78	< 0.1%
7	48	< 0.1%
Other values (2)	19	< 0.1%
(Missing)	537123	98.3%

RF_kanal_13_Zuf
Categorical

IMBALANCE MISSING

Distinct	12
Distinct (%)	0.1%
Missing	535744
Missing (%)	98.0%
Memory size	4.2 MiB

5	6652
4	2621
3	506
weiss nicht	380
10	270
Other values (7)	470

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	8
2nd row	8
3rd row	9
4th row	10
5th row	10

Common Values

Value	Count	Frequency (%)
5	6652	1.2%
4	2621	0.5%
3	506	0.1%
weiss nicht	380	0.1%
10	270	< 0.1%
8	119	< 0.1%
2	109	< 0.1%
9	105	< 0.1%
1	67	< 0.1%
7	41	< 0.1%
Other values (2)	29	< 0.1%
(Missing)	535744	98.0%

RF_kanal_14_Zuf
Categorical

IMBALANCE MISSING

Distinct	11
Distinct (%)	0.3%
Missing	543242
Missing (%)	99.4%
Memory size	4.2 MiB

5	2028
4	832
weiss nicht	219
3	185
2	47
Other values (6)	90

Overview
Categories

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	10
2nd row	2
3rd row	weiss nicht
4th row	10
5th row	7

Common Values

Value	Count	Frequency (%)
5	2028	0.4%
4	832	0.2%
weiss nicht	219	< 0.1%
3	185	< 0.1%
2	47	< 0.1%
10	33	< 0.1%
1	26	< 0.1%
9	13	< 0.1%
8	9	< 0.1%
7	8	< 0.1%
(Missing)	543242	99.4%

RF_kanal_24_Zuf
Unsupported

MISSING REJECTED UNSUPPORTED

Missing	546643
Missing (%)	100.0%
Memory size	4.2 MiB

SF_bhf_abfahrt
Categorical

IMBALANCE MISSING

Distinct	3
Distinct (%)	< 0.1%
Missing	437164
Missing (%)	80.0%
Memory size	4.2 MiB

-77	108383
not quoted	756
quoted	340

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	-77
2nd row	-77
3rd row	-77
4th row	-77
5th row	-77

Common Values

Value	Count	Frequency (%)
-77	108383	19.8%
not quoted	756	0.1%
quoted	340	0.1%
(Missing)	437164	80.0%

Common Values (Plot)

SF_bhf_andere
Categorical

IMBALANCE MISSING

Distinct	3
Distinct (%)	< 0.1%
Missing	437164
Missing (%)	80.0%
Memory size	4.2 MiB

-77	108383
not quoted	1053
quoted	43

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	-77
2nd row	-77
3rd row	-77
4th row	-77
5th row	-77

Common Values

Value	Count	Frequency (%)
-77	108383	19.8%
not quoted	1053	0.2%
quoted	43	< 0.1%
(Missing)	437164	80.0%

Common Values (Plot)

SF_bhf_perron
Categorical

IMBALANCE MISSING

Distinct	3
Distinct (%)	< 0.1%
Missing	437164
Missing (%)	80.0%
Memory size	4.2 MiB

-77	108383
quoted	850
not quoted	246

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	-77
2nd row	-77
3rd row	-77
4th row	-77
5th row	-77

Common Values

Value	Count	Frequency (%)
-77	108383	19.8%
quoted	850	0.2%
not quoted	246	< 0.1%
(Missing)	437164	80.0%

Common Values (Plot)

SF_bhf_stoerung
Categorical

IMBALANCE MISSING

Distinct	3
Distinct (%)	< 0.1%
Missing	437164
Missing (%)	80.0%
Memory size	4.2 MiB

-77	108383
not quoted	988
quoted	108

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	-77
2nd row	-77
3rd row	-77
4th row	-77
5th row	-77

Common Values

Value	Count	Frequency (%)
-77	108383	19.8%
not quoted	988	0.2%
quoted	108	< 0.1%
(Missing)	437164	80.0%

Common Values (Plot)

SF_bhf_touch
Categorical

IMBALANCE MISSING

Distinct	3
Distinct (%)	< 0.1%
Missing	437164
Missing (%)	80.0%
Memory size	4.2 MiB

-77	108383
not quoted	1089
quoted	7

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	-77
2nd row	-77
3rd row	-77
4th row	-77
5th row	-77

Common Values

Value	Count	Frequency (%)
-77	108383	19.8%
not quoted	1089	0.2%
quoted	7	< 0.1%
(Missing)	437164	80.0%

Common Values (Plot)

SF_info_art_1
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	4.2 MiB

-77	512605
quoted	19807
not quoted	14231

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	-77
2nd row	-77
3rd row	-77
4th row	-77
5th row	-77

Common Values

Value	Count	Frequency (%)
-77	512605	93.8%
quoted	19807	3.6%
not quoted	14231	2.6%

Common Values (Plot)

SF_info_art_2
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	4.2 MiB

-77	512605
quoted	19322
not quoted	14716

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	-77
2nd row	-77
3rd row	-77
4th row	-77
5th row	-77

Common Values

Value	Count	Frequency (%)
-77	512605	93.8%
quoted	19322	3.5%
not quoted	14716	2.7%

Common Values (Plot)

SF_info_art_3
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	4.2 MiB

-77	512754
not quoted	27883
quoted	6006

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	-77
2nd row	-77
3rd row	-77
4th row	-77
5th row	-77

Common Values

Value	Count	Frequency (%)
-77	512754	93.8%
not quoted	27883	5.1%
quoted	6006	1.1%

Common Values (Plot)

SF_info_art_4
Categorical

IMBALANCE MISSING

Distinct	3
Distinct (%)	< 0.1%
Missing	179285
Missing (%)	32.8%
Memory size	4.2 MiB

-77	367209
not quoted	124
quoted	25

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	-77
2nd row	-77
3rd row	-77
4th row	-77
5th row	-77

Common Values

Value	Count	Frequency (%)
-77	367209	67.2%
not quoted	124	< 0.1%
quoted	25	< 0.1%
(Missing)	179285	32.8%

Common Values (Plot)

SF_info_art_5
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	4.2 MiB

-77	512605
not quoted	21907
quoted	12131

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	-77
2nd row	-77
3rd row	-77
4th row	-77
5th row	-77

Common Values

Value	Count	Frequency (%)
-77	512605	93.8%
not quoted	21907	4.0%
quoted	12131	2.2%

Common Values (Plot)

SF_info_art_6
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	4.2 MiB

-77	512605
not quoted	19551
quoted	14487

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	-77
2nd row	-77
3rd row	-77
4th row	-77
5th row	-77

Common Values

Value	Count	Frequency (%)
-77	512605	93.8%
not quoted	19551	3.6%
quoted	14487	2.7%

Common Values (Plot)

SF_info_art_7
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	4.2 MiB

-77	527309
quoted	10147
not quoted	9187

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	-77
2nd row	-77
3rd row	-77
4th row	-77
5th row	-77

Common Values

Value	Count	Frequency (%)
-77	527309	96.5%
quoted	10147	1.9%
not quoted	9187	1.7%

Common Values (Plot)

SF_kanal_1
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	4.2 MiB

-77	506011
not quoted	31210
quoted	9422

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	-77
2nd row	-77
3rd row	-77
4th row	-77
5th row	-77

Common Values

Value	Count	Frequency (%)
-77	506011	92.6%
not quoted	31210	5.7%
quoted	9422	1.7%

Common Values (Plot)

SF_kanal_12
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	4.2 MiB

-77	506011
not quoted	23722
quoted	16910

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	-77
2nd row	-77
3rd row	-77
4th row	-77
5th row	-77

Common Values

Value	Count	Frequency (%)
-77	506011	92.6%
not quoted	23722	4.3%
quoted	16910	3.1%

Common Values (Plot)

SF_kanal_13
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	4.2 MiB

-77	506011
not quoted	38817
quoted	1815

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	-77
2nd row	-77
3rd row	-77
4th row	-77
5th row	-77

Common Values

Value	Count	Frequency (%)
-77	506011	92.6%
not quoted	38817	7.1%
quoted	1815	0.3%

Common Values (Plot)

SF_kanal_14
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	4.2 MiB

-77	506011
not quoted	37899
quoted	2733

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	-77
2nd row	-77
3rd row	-77
4th row	-77
5th row	-77

Common Values

Value	Count	Frequency (%)
-77	506011	92.6%
not quoted	37899	6.9%
quoted	2733	0.5%

Common Values (Plot)

SF_kanal_15
Categorical

IMBALANCE MISSING

Distinct	3
Distinct (%)	< 0.1%
Missing	437164
Missing (%)	80.0%
Memory size	4.2 MiB

-77	102324
not quoted	6904
quoted	251

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	-77
2nd row	-77
3rd row	-77
4th row	-77
5th row	-77

Common Values

Value	Count	Frequency (%)
-77	102324	18.7%
not quoted	6904	1.3%
quoted	251	< 0.1%
(Missing)	437164	80.0%

Common Values (Plot)

SF_kanal_2
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	1
Missing (%)	< 0.1%
Memory size	4.2 MiB

-77	506010
not quoted	39836
quoted	796

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	-77
2nd row	-77
3rd row	-77
4th row	-77
5th row	-77

Common Values

Value	Count	Frequency (%)
-77	506010	92.6%
not quoted	39836	7.3%
quoted	796	0.1%
(Missing)	1	< 0.1%

Common Values (Plot)

SF_kanal_4
Categorical

IMBALANCE MISSING

Distinct	3
Distinct (%)	< 0.1%
Missing	109481
Missing (%)	20.0%
Memory size	4.2 MiB

-77	403685
not quoted	32419
quoted	1058

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	-77
2nd row	-77
3rd row	-77
4th row	-77
5th row	-77

Common Values

Value	Count	Frequency (%)
-77	403685	73.8%
not quoted	32419	5.9%
quoted	1058	0.2%
(Missing)	109481	20.0%

Common Values (Plot)

SF_kanal_6
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	1
Missing (%)	< 0.1%
Memory size	4.2 MiB

-77	506010
not quoted	39824
quoted	808

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	-77
2nd row	-77
3rd row	-77
4th row	-77
5th row	-77

Common Values

Value	Count	Frequency (%)
-77	506010	92.6%
not quoted	39824	7.3%
quoted	808	0.1%
(Missing)	1	< 0.1%

Common Values (Plot)

SF_kanal_7
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	1
Missing (%)	< 0.1%
Memory size	4.2 MiB

-77	506010
not quoted	29352
quoted	11280

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	-77
2nd row	-77
3rd row	-77
4th row	-77
5th row	-77

Common Values

Value	Count	Frequency (%)
-77	506010	92.6%
not quoted	29352	5.4%
quoted	11280	2.1%
(Missing)	1	< 0.1%

Common Values (Plot)

SF_kanal_8
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	1
Missing (%)	< 0.1%
Memory size	4.2 MiB

-77	506010
not quoted	28913
quoted	11719

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	-77
2nd row	-77
3rd row	-77
4th row	-77
5th row	-77

Common Values

Value	Count	Frequency (%)
-77	506010	92.6%
not quoted	28913	5.3%
quoted	11719	2.1%
(Missing)	1	< 0.1%

Common Values (Plot)

SF_kanal_keiner
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	1
Missing (%)	< 0.1%
Memory size	4.2 MiB

-77	506010
not quoted	37478
quoted	3154

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	-77
2nd row	-77
3rd row	-77
4th row	-77
5th row	-77

Common Values

Value	Count	Frequency (%)
-77	506010	92.6%
not quoted	37478	6.9%
quoted	3154	0.6%
(Missing)	1	< 0.1%

Common Values (Plot)

SF_kanal_other
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	1
Missing (%)	< 0.1%
Memory size	4.2 MiB

-77	506010
not quoted	37891
quoted	2741

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	-77
2nd row	-77
3rd row	-77
4th row	-77
5th row	-77

Common Values

Value	Count	Frequency (%)
-77	506010	92.6%
not quoted	37891	6.9%
quoted	2741	0.5%
(Missing)	1	< 0.1%

Common Values (Plot)

SF_kanal_other_txt
Categorical

HIGH CARDINALITY IMBALANCE

Distinct	1788
Distinct (%)	0.3%
Missing	863
Missing (%)	0.2%
Memory size	4.2 MiB

-66	531079
-99	12833
Verspätung	30
Radio	10
Retard	6
Other values (1783)	1822

Overview
Categories

Unique

Unique	1761 ?
Unique (%)	0.3%

Sample

1st row	-66
2nd row	-66
3rd row	-66
4th row	-66
5th row	-66

Common Values

Value	Count	Frequency (%)
-66	531079	97.2%
-99	12833	2.3%
Verspätung	30	< 0.1%
Radio	10	< 0.1%
Retard	6	< 0.1%
Andere Fahrgäste	6	< 0.1%
Durchsage im Zug	6	< 0.1%
Mitreisende	5	< 0.1%
Ersatzzug	5	< 0.1%
Zugverspätung	3	< 0.1%
Other values (1778)	1797	0.3%
(Missing)	863	0.2%

SF_mob_andere
Categorical

IMBALANCE MISSING

Distinct	3
Distinct (%)	< 0.1%
Missing	437164
Missing (%)	80.0%
Memory size	4.2 MiB

-77	108211
not quoted	1229
quoted	39

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	-77
2nd row	-77
3rd row	-77
4th row	-77
5th row	-77

Common Values

Value	Count	Frequency (%)
-77	108211	19.8%
not quoted	1229	0.2%
quoted	39	< 0.1%
(Missing)	437164	80.0%

Common Values (Plot)

SF_mob_andere_txt
Categorical

IMBALANCE MISSING

Distinct	34
Distinct (%)	< 0.1%
Missing	437164
Missing (%)	80.0%
Memory size	4.2 MiB

-66	109440
Fahrplan	4
Ticketkauf	3
keine	2
Haben Info auf dem Bahnhof bekommen	1
Other values (29)	29

Overview
Categories

Unique

Unique	30 ?
Unique (%)	< 0.1%

Sample

1st row	-66
2nd row	-66
3rd row	-66
4th row	-66
5th row	-66

Common Values

Value	Count	Frequency (%)
-66	109440	20.0%
Fahrplan	4	< 0.1%
Ticketkauf	3	< 0.1%
keine	2	< 0.1%
Haben Info auf dem Bahnhof bekommen	1	< 0.1%
Billette lösen	1	< 0.1%
Fahrplan geschaut	1	< 0.1%
Achat de billets	1	< 0.1%
Sbb app ohne push Meldung	1	< 0.1%
Ticket-Kauf	1	< 0.1%
Other values (24)	24	< 0.1%
(Missing)	437164	80.0%

SF_mob_autom
Categorical

IMBALANCE MISSING

Distinct	3
Distinct (%)	< 0.1%
Missing	437164
Missing (%)	80.0%
Memory size	4.2 MiB

-77	108211
not quoted	883
quoted	385

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	-77
2nd row	-77
3rd row	-77
4th row	-77
5th row	-77

Common Values

Value	Count	Frequency (%)
-77	108211	19.8%
not quoted	883	0.2%
quoted	385	0.1%
(Missing)	437164	80.0%

Common Values (Plot)

SF_mob_fahrplan
Categorical

IMBALANCE MISSING

Distinct	3
Distinct (%)	< 0.1%
Missing	437164
Missing (%)	80.0%
Memory size	4.2 MiB

-77	108211
quoted	1113
not quoted	155

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	-77
2nd row	-77
3rd row	-77
4th row	-77
5th row	-77

Common Values

Value	Count	Frequency (%)
-77	108211	19.8%
quoted	1113	0.2%
not quoted	155	< 0.1%
(Missing)	437164	80.0%

Common Values (Plot)

SF_mob_karte
Categorical

IMBALANCE MISSING

Distinct	3
Distinct (%)	< 0.1%
Missing	437164
Missing (%)	80.0%
Memory size	4.2 MiB

-77	108211
not quoted	1209
quoted	59

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	-77
2nd row	-77
3rd row	-77
4th row	-77
5th row	-77

Common Values

Value	Count	Frequency (%)
-77	108211	19.8%
not quoted	1209	0.2%
quoted	59	< 0.1%
(Missing)	437164	80.0%

Common Values (Plot)

tag_zug_nr
Categorical

Distinct	416276
Distinct (%)	76.2%
Missing	96
Missing (%)	< 0.1%
Memory size	4.2 MiB

2022-08-25;	194
2020-06-09;	180
2020-07-20;	167
2022-07-14;	162
2022-08-16;	145
Other values (416271)	545699

Overview
Categories

Unique

Unique	370026 ?
Unique (%)	67.7%

Sample

1st row	2018-07-01;12
2nd row	2018-07-01;170
3rd row	2018-07-01;5
4th row	2018-07-01;8
5th row	2018-07-01;8

Common Values

Value	Count	Frequency (%)
2022-08-25;	194	< 0.1%
2020-06-09;	180	< 0.1%
2020-07-20;	167	< 0.1%
2022-07-14;	162	< 0.1%
2022-08-16;	145	< 0.1%
2022-08-11;	143	< 0.1%
2022-09-24;	137	< 0.1%
2022-08-10;	134	< 0.1%
2022-08-04;	132	< 0.1%
2022-08-13;	130	< 0.1%
Other values (416266)	545023	99.7%

u_artikel
Categorical

HIGH CARDINALITY IMBALANCE MISSING

Distinct	247
Distinct (%)	0.1%
Missing	165697
Missing (%)	30.3%
Memory size	4.2 MiB

125	160645
-66	77272
52508	15319
52509	10657
10972	8614
Other values (242)	108439

Overview
Categories

Unique

Unique	40 ?
Unique (%)	< 0.1%

Sample

1st row	-66
2nd row	-66
3rd row	-66
4th row	-66
5th row	-66

Common Values

Value	Count	Frequency (%)
125	160645	29.4%
-66	77272	14.1%
52508	15319	2.8%
52509	10657	1.9%
10972	8614	1.6%
2007	7032	1.3%
7725	6483	1.2%
4092	6316	1.2%
12444	6187	1.1%
12448	5423	1.0%
Other values (237)	76998	14.1%
(Missing)	165697	30.3%

u_bezugsart
Categorical

Distinct	7
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	4.2 MiB

-66	191868
Mobile	186923
MobileTicket	48320
Internet	45946
Mobile Ticket	34706
Other values (2)	38880

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Mobile
2nd row	Mobile
3rd row	Mobile
4th row	Mobile
5th row	Mobile

Common Values

Value	Count	Frequency (%)
-66	191868	35.1%
Mobile	186923	34.2%
MobileTicket	48320	8.8%
Internet	45946	8.4%
Mobile Ticket	34706	6.3%
Onlineticket	22642	4.1%
-99	16238	3.0%

Common Values (Plot)

SF_unzuf_info_txt
Categorical

HIGH CARDINALITY IMBALANCE MISSING

Distinct	1511
Distinct (%)	0.7%
Missing	328381
Missing (%)	60.1%
Memory size	4.2 MiB

-66	216741
.	4
Zu späte Information	3
siehe vorne	2
-	2
Other values (1506)	1510

Overview
Categories

Unique

Unique	1502 ?
Unique (%)	0.7%

Sample

1st row	-66
2nd row	-66
3rd row	-66
4th row	-66
5th row	-66

Common Values

Value	Count	Frequency (%)
-66	216741	39.6%
.	4	< 0.1%
Zu späte Information	3	< 0.1%
siehe vorne	2	< 0.1%
-	2	< 0.1%
Kam zu spät	2	< 0.1%
Manque de précision	2	< 0.1%
????	2	< 0.1%
Siehe oben	2	< 0.1%
Perche non è stata data nessuna alternativa ai passeggeri	1	< 0.1%
Other values (1501)	1501	0.3%
(Missing)	328381	60.1%

SF_Zufallsitem1
Categorical

IMBALANCE MISSING

Distinct	8
Distinct (%)	< 0.1%
Missing	367358
Missing (%)	67.2%
Memory size	4.2 MiB

-66	169983
Durchsagen im Zug	3382
SBB Mobile App	1907
Durchsagen am Bahnhof	1875
Anzeigen am Bahnhof (z.B. Abfahrtsanzeigen, Monitore)	1707
Other values (3)	431

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	-66
2nd row	-66
3rd row	-66
4th row	-66
5th row	-66

Common Values

Value	Count	Frequency (%)
-66	169983	31.1%
Durchsagen im Zug	3382	0.6%
SBB Mobile App	1907	0.3%
Durchsagen am Bahnhof	1875	0.3%
Anzeigen am Bahnhof (z.B. Abfahrtsanzeigen, Monitore)	1707	0.3%
Webseite sbb.ch	157	< 0.1%
automatische Benachrichtigung durch SBB Mobile App (Push-Meldung, abonnierte Fahrplan-Benachrichtigu	151	< 0.1%
32	123	< 0.1%
(Missing)	367358	67.2%

Common Values (Plot)

SF_Zufallsitem2
Categorical

IMBALANCE MISSING

Distinct	20
Distinct (%)	< 0.1%
Missing	367358
Missing (%)	67.2%
Memory size	4.2 MiB

-66	169426
12	2191
1	1268
7	1164
8	1093
Other values (15)	4143

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	-66
2nd row	-66
3rd row	-66
4th row	-66
5th row	-66

Common Values

Value	Count	Frequency (%)
-66	169426	31.0%
12	2191	0.4%
1	1268	0.2%
7	1164	0.2%
8	1093	0.2%
Durchsagen im Zug	1065	0.2%
Durchsagen am Bahnhof	635	0.1%
Anzeigen am Bahnhof (z.B. Abfahrtsanzeigen, Monitore)	621	0.1%
SBB Mobile App	546	0.1%
15	237	< 0.1%
Other values (10)	1039	0.2%
(Missing)	367358	67.2%

u_date
Categorical

Distinct	2111
Distinct (%)	0.4%
Missing	96
Missing (%)	< 0.1%
Memory size	4.2 MiB

2019-07-17	1028
2022-09-24	771
2020-06-09	729
2018-04-11	644
2020-01-16	636
Other values (2106)	542739

Overview
Categories

Unique

Unique	5 ?
Unique (%)	< 0.1%

Sample

1st row	2018-07-01
2nd row	2018-07-01
3rd row	2018-07-01
4th row	2018-07-01
5th row	2018-07-01

Common Values

Value	Count	Frequency (%)
2019-07-17	1028	0.2%
2022-09-24	771	0.1%
2020-06-09	729	0.1%
2018-04-11	644	0.1%
2020-01-16	636	0.1%
2019-01-22	634	0.1%
2018-04-10	631	0.1%
2022-10-05	558	0.1%
2017-01-22	552	0.1%
2022-08-05	548	0.1%
Other values (2101)	539816	98.8%

u_fahrart
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	4.2 MiB

Einfache Fahrt	257537
keine Fahrart (Missing)	213276
Hin- und Rückfahrt	75830

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	keine Fahrart (Missing)
2nd row	Einfache Fahrt
3rd row	Hin- und Rückfahrt
4th row	Einfache Fahrt
5th row	keine Fahrart (Missing)

Common Values

Value	Count	Frequency (%)
Einfache Fahrt	257537	47.1%
keine Fahrart (Missing)	213276	39.0%
Hin- und Rückfahrt	75830	13.9%

Common Values (Plot)

u_fahrausweis
Categorical

IMBALANCE MISSING

Distinct	7
Distinct (%)	< 0.1%
Missing	367363
Missing (%)	67.2%
Memory size	4.2 MiB

normales Billett	137816
GA	21196
Sparbillett	13286
Spartageskarte	5360
Tageskarte	743
Other values (2)	879

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	normales Billett
2nd row	normales Billett
3rd row	normales Billett
4th row	normales Billett
5th row	normales Billett

Common Values

Value	Count	Frequency (%)
normales Billett	137816	25.2%
GA	21196	3.9%
Sparbillett	13286	2.4%
Spartageskarte	5360	1.0%
Tageskarte	743	0.1%
Strecken-/Modulabo	660	0.1%
seven25	219	< 0.1%
(Missing)	367363	67.2%

Common Values (Plot)

u_ga
Categorical

IMBALANCE MISSING

Distinct	2
Distinct (%)	< 0.1%
Missing	218263
Missing (%)	39.9%
Memory size	4.2 MiB

kein GA	299554
besitzt GA	28826

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	kein GA
2nd row	kein GA
3rd row	kein GA
4th row	kein GA
5th row	kein GA

Common Values

Value	Count	Frequency (%)
kein GA	299554	54.8%
besitzt GA	28826	5.3%
(Missing)	218263	39.9%

Common Values (Plot)

u_hindatum
Categorical

Distinct	2111
Distinct (%)	0.4%
Missing	3147
Missing (%)	0.6%
Memory size	4.2 MiB

2019-07-17	1028
2022-09-24	761
2020-06-09	729
2018-04-11	644
2020-01-16	636
Other values (2106)	539698

Overview
Categories

Unique

Unique	5 ?
Unique (%)	< 0.1%

Sample

1st row	2018-07-01
2nd row	2018-07-01
3rd row	2018-07-01
4th row	2018-07-01
5th row	2018-07-01

Common Values

Value	Count	Frequency (%)
2019-07-17	1028	0.2%
2022-09-24	761	0.1%
2020-06-09	729	0.1%
2018-04-11	644	0.1%
2020-01-16	636	0.1%
2019-01-22	634	0.1%
2018-04-10	630	0.1%
2017-01-22	553	0.1%
2022-10-05	551	0.1%
2022-08-05	543	0.1%
Other values (2101)	536787	98.2%
(Missing)	3147	0.6%

u_kategorie
Categorical

IMBALANCE MISSING

Distinct	6
Distinct (%)	< 0.1%
Missing	379465
Missing (%)	69.4%
Memory size	4.2 MiB

ZVS_REG	128053
-66	31328
ZVS_GAST	6789
MCS_GAST	627
MCS_REG	378

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	ZVS_REG
2nd row	ZVS_REG
3rd row	ZVS_REG
4th row	ZVS_REG
5th row	ZVS_REG

Common Values

Value	Count	Frequency (%)
ZVS_REG	128053	23.4%
-66	31328	5.7%
ZVS_GAST	6789	1.2%
MCS_GAST	627	0.1%
MCS_REG	378	0.1%
Gast	3	< 0.1%
(Missing)	379465	69.4%

Common Values (Plot)

u_kaufdatum
Categorical

HIGH CARDINALITY MISSING

Distinct	2144
Distinct (%)	0.4%
Missing	50958
Missing (%)	9.3%
Memory size	4.2 MiB

2019-07-17	824
2020-01-15	810
2020-06-09	664
2018-04-10	570
2022-08-04	540
Other values (2139)	492277

Overview
Categories

Unique

Unique	13 ?
Unique (%)	< 0.1%

Sample

1st row	2018-07-01
2nd row	2018-07-01
3rd row	2018-07-01
4th row	2018-07-01
5th row	2018-07-01

Common Values

Value	Count	Frequency (%)
2019-07-17	824	0.2%
2020-01-15	810	0.1%
2020-06-09	664	0.1%
2018-04-10	570	0.1%
2022-08-04	540	0.1%
2018-12-17	535	0.1%
2017-05-24	523	0.1%
2018-04-11	512	0.1%
2020-01-14	506	0.1%
2017-01-22	504	0.1%
Other values (2134)	489697	89.6%
(Missing)	50958	9.3%

u_klassencode
Categorical

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	4.2 MiB

2. Klasse	456803
1. Klasse	75066
-77	11572
0	2620
weiss nicht / beide Klassen	582

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2. Klasse
2nd row	2. Klasse
3rd row	2. Klasse
4th row	2. Klasse
5th row	2. Klasse

Common Values

Value	Count	Frequency (%)
2. Klasse	456803	83.6%
1. Klasse	75066	13.7%
-77	11572	2.1%
0	2620	0.5%
weiss nicht / beide Klassen	582	0.1%

Common Values (Plot)

u_preis
Categorical

Distinct	2858
Distinct (%)	0.5%
Missing	1
Missing (%)	< 0.1%
Memory size	4.2 MiB

-66	33882
-99	16238
13.00	7396
6.80	6679
3.40	5728
Other values (2853)	476719

Overview
Categories

Unique

Unique	589 ?
Unique (%)	0.1%

Sample

1st row	7.50
2nd row	22.50
3rd row	56.00
4th row	12.30
5th row	2.90

Common Values

Value	Count	Frequency (%)
-66	33882	6.2%
-99	16238	3.0%
13.00	7396	1.4%
6.80	6679	1.2%
3.40	5728	1.0%
28.00	4261	0.8%
3.70	4253	0.8%
8.80	4229	0.8%
14.00	3831	0.7%
6.20	3816	0.7%
Other values (2848)	456329	83.5%

u_ticket
Categorical

Distinct	6
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	4.2 MiB

Mobile-Ticket	377698
Online-Ticket	81934
keine Zuordnung / GA-Besitzer	77433
Easy Ride	9045
bedienter Vertrieb	509

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Mobile-Ticket
2nd row	Mobile-Ticket
3rd row	Mobile-Ticket
4th row	Mobile-Ticket
5th row	Mobile-Ticket

Common Values

Value	Count	Frequency (%)
Mobile-Ticket	377698	69.1%
Online-Ticket	81934	15.0%
keine Zuordnung / GA-Besitzer	77433	14.2%
Easy Ride	9045	1.7%
bedienter Vertrieb	509	0.1%
3	24	< 0.1%

Common Values (Plot)

u_zusatz
Categorical

IMBALANCE MISSING

Distinct	4
Distinct (%)	< 0.1%
Missing	54952
Missing (%)	10.1%
Memory size	4.2 MiB

-66	367661
-99	110709
1	11460
0	1861

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	-66
2nd row	-66
3rd row	-66
4th row	-66
5th row	-66

Common Values

Value	Count	Frequency (%)
-66	367661	67.3%
-99	110709	20.3%
1	11460	2.1%
0	1861	0.3%
(Missing)	54952	10.1%

Common Values (Plot)

updatedAt
Categorical

Distinct	461329
Distinct (%)	84.4%
Missing	0
Missing (%)	0.0%
Memory size	4.2 MiB

2019-10-09 16:54:48.930	4
2019-10-09 16:32:37.180	4
2019-10-09 16:28:13.393	4
2019-10-09 16:53:07.930	4
2019-10-09 15:45:03.460	4
Other values (461324)	546623

Overview
Categories

Unique

Unique	395320 ?
Unique (%)	72.3%

Sample

1st row	2019-07-19 22:15:07.430
2nd row	2019-07-19 22:15:07.803
3rd row	2019-07-19 22:15:07.920
4th row	2019-07-19 22:15:08.033
5th row	2019-07-19 22:15:08.143

Common Values

Value	Count	Frequency (%)
2019-10-09 16:54:48.930	4	< 0.1%
2019-10-09 16:32:37.180	4	< 0.1%
2019-10-09 16:28:13.393	4	< 0.1%
2019-10-09 16:53:07.930	4	< 0.1%
2019-10-09 15:45:03.460	4	< 0.1%
2019-10-09 16:29:50.017	4	< 0.1%
2019-10-09 16:12:06.233	4	< 0.1%
2019-10-09 15:27:46.783	4	< 0.1%
2019-10-09 16:42:46.187	4	< 0.1%
2019-10-09 15:36:49.860	4	< 0.1%
Other values (461319)	546603	> 99.9%

wime_stoerungsinfo
Categorical

IMBALANCE MISSING

Distinct	12
Distinct (%)	< 0.1%
Missing	218263
Missing (%)	39.9%
Memory size	4.2 MiB

-77	300516
8	4716
10	4462
7	3319
9	3099
Other values (7)	12268

Overview
Categories

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	-77
2nd row	-77
3rd row	-77
4th row	-77
5th row	-77

Common Values

Value	Count	Frequency (%)
-77	300516	55.0%
8	4716	0.9%
10	4462	0.8%
7	3319	0.6%
9	3099	0.6%
1	2827	0.5%
5	2461	0.5%
6	2171	0.4%
3	1525	0.3%
4	1377	0.3%
Other values (2)	1907	0.3%
(Missing)	218263	39.9%

wime_unzuf_sf_txt
Categorical

HIGH CARDINALITY IMBALANCE MISSING

Distinct	1608
Distinct (%)	0.9%
Missing	367364
Missing (%)	67.2%
Memory size	4.2 MiB

-66	177643
.	5
-	4
No	4
Anschluss verpasst	3
Other values (1603)	1620

Overview
Categories

Unique

Unique	1589 ?
Unique (%)	0.9%

Sample

1st row	-66
2nd row	-66
3rd row	-66
4th row	-66
5th row	-66

Common Values

Value	Count	Frequency (%)
-66	177643	32.5%
.	5	< 0.1%
-	4	< 0.1%
No	4	< 0.1%
Anschluss verpasst	3	< 0.1%
?	3	< 0.1%
Aucune information	3	< 0.1%
Nein	3	< 0.1%
siehe vorne	2	< 0.1%
siehe oben	2	< 0.1%
Other values (1598)	1607	0.3%
(Missing)	367364	67.2%

Overview

Variables

Common Values

Common Values (Plot)

Common Values

Common Values

Common Values

Common Values

Common Values (Plot)

Common Values

Common Values

Common Values

Common Values (Plot)

Common Values

Common Values (Plot)

Common Values

Common Values

Common Values

Common Values (Plot)

Common Values

Common Values (Plot)

Common Values

Common Values

Common Values

Common Values

Common Values

Common Values

Common Values (Plot)

Common Values

Common Values

Common Values

Common Values

Common Values

Common Values

Common Values

Common Values

Common Values (Plot)

Common Values

Common Values (Plot)

Common Values

Common Values (Plot)

Common Values

Common Values (Plot)

Common Values

Common Values (Plot)

Common Values

Common Values

Common Values (Plot)

Common Values

Common Values (Plot)

Common Values

Common Values (Plot)

Common Values

Common Values

Common Values

Common Values

Common Values

Common Values

Common Values (Plot)

Common Values

Common Values (Plot)

Common Values

Common Values (Plot)

Common Values

Common Values

Common Values

Common Values

Common Values

Common Values

Common Values (Plot)

Common Values

Common Values (Plot)

Common Values

Common Values

Common Values (Plot)

Common Values

Common Values (Plot)

Common Values

Common Values (Plot)

Common Values